Tcia dataset kaggle. environ['KAGGLE_USERNAME'] = '<your-username>' os.

Tcia dataset kaggle nii. The second dataset obtained from kaggle namely, kaggle dataset. Sep 10, 2020 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. I have to take CT scans Dicom images. Apr 10, 2023 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The dataset was collected by the Center for Research on Intelligent Systems at the Department of Computer Science, Columbia University. Apr 11, 2024 · New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. The offset is a number of days between 3 and 10 years prior to the real date that is consistent for each TCIA image-submitting site and Download Open Datasets on 1000s of Projects + Share Projects on One Platform. The TCIA-PDA and MSD datasets qualified for MIDaR level B category. The offset is a number of days between 3 and Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics Sep 4, 2024 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Dec 4, 2023 · Third Party Analyses of this Dataset. com) 介绍：美国国立卫生研究院临床中心进行了82例腹部增强型三维CT扫描（在静脉注射造影剂约70秒后进行门静脉期扫描），其中包括53名男性和27名女性受试者。17 Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. For classification of these images, the training and test datasets are constructed with viral Aug 20, 2015 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The data are organized as “Collections”, typically patients related by a common disease (e. The Reference Image Database to Evaluate Therapy Response (RIDER) Lung CT Collection of 2500 PNG patches of pathological images from TCIA. Curated Breast Imaging Subset DDSM Dataset (Mammography) Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Apr 10, 2024 · Summary. Sep 26, 2023 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. os. Firstly, I found a dataset NSCLC-Radiomics NSCLC-Radiomics - The Cancer Imaging Archive (TCIA) Public Access - Cancer Imaging Archive Wiki, where they labeled different regions of the body like left and May 6, 2020 · For future searchers: you can also just use. TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Two MRI exams are included for each patient: within 90 days following CRT completion and at progression (determined clinically, and based on a combination of clinical performance and Aug 25, 2023 · This dataset includes brain MRI scans of adult brain glioma patients, comprising of 4 structural modalities (i. Mar 26, 2019 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. and Aug 11, 2021 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. SegPC-2021: Segmentation of Multiple Myeloma Plasma Cells in Microscopic Images This dataset consists of previously open sourced depersonalised head and neck scans, each segmented with full volumetric regions by trained radiographers according to standard segmentation class definition found in the atlas proposed in Brouwer et al (2015). csv and dataset/test_set. This dataset includes brain MRI scans of adult brain glioma patients, comprising of 4 structural modalities (i. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. This collection contains CT scans and segmentations from subjects from the training set of the 2019 Kidney and Kidney Tumor Segmentation Challenge (KiTS19). Aug 11, 2021 · It is seen from Table 5 that best classification accuracies are achieved for three class and binary classifications with the Kaggle CXR and TCIA datasets, respectively. [TSLA] Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. lung cancer), image modality (MRI, CT, etc) or research focus. I want to build a radiomics feature-based classifier. The challenge aimed to accelerate progress in automatic 3D semantic segmentation by releasing a dataset of CT scans for 210 patients with manual semantic segmentations of the kidneys and tumors in the corticomedullary phase. Apr 11, 2024 · New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics Jul 2, 2014 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. In terms of design, the dataset is a single-institutional, retrospective collection of 922 biopsy-confirmed invasive breast cancer patients, over a decade, having the following data components: Dec 31, 2021 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. , T1, T1c, T2, T2-FLAIR) and associated manually generated ground truth labels for each tumor sub-region (enhancement, necrosis, edema), as well as their MGMT promoter methylation status. Prominent X-ray Datasets: Nov 25, 2020 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Jan 8, 2024 · This dataset consists of 256 breast ultrasound scans collected from 256 patients and 266 benign and malignant segmented lesions. 1 Dataset. The test and validation sets were created Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. The images were obtained from The Cancer Imaging Archive (TCIA). cancerimagingarchive. py to test a classification model; run parse_reports. Examples (see previously published analysis datasets ) include image labels, annotations, organ/tumor segmentations, and radiomic/pathomic features. CT Medical Images Kaggle Dataset – A versatile dataset applicable to a range of medical conditions. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive. Nov 29, 2022 · Hello everyone, I am a Computer science college student and new to radiomics and medical science. This collection includes datasets from 20 subjects with primary newly diagnosed glioblastoma who were treated with surgery and standard concomitant chemo-radiation therapy (CRT) followed by adjuvant chemotherapy. The Munich AML Morphology Dataset contains 18,365 expert-labeled single-cell images taken from peripheral blood smears of 100 patients diagnosed with Acute Myeloid Leukemia at Munich University Hospital between 2014 and 2017, as well as 100 patients without signs of hematological malignancy. X-ray imaging is extensively employed for the diagnosis of fractures, lung infections, and cardiovascular ailments. Apr 12, 2024 · Click the Versions tab for more info about data releases. Explore and run machine learning code with Kaggle Notebooks | Using data from Bakery Sales Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. DBT) images. Data has 25 feattures which may predict a patient with chronic kidney disease Download dataset; Put the images inside dataset/images; split annotations into dataset/train_set. 0. They correspond to Jul 3, 2023 · TCIA_SegPC_dataset ├─test │ └─x ├─train │ ├─x │ └─y └─valid ├─x └─y Each x folder of the dataset contains the ordinary image files of Multiple Myeloma Plasma Cells, and y folder contains the mask files to identify each Cell of the ordinary image files. Learn more Jun 30, 2011 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Jun 14, 2023 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection. We share such a dataset here. Aug 7, 2023 · Dates: TCIA and TCGA handle dates differently, and there are no immediate plans to reconcile: TCIA Dates: dates (be they birth dates, imaging study dates, etc. It is evident from Table 1 that the TCIA dataset has only COVID19-positive images. Apr 15, 2024 · New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics Explore and run machine learning code with Kaggle Notebooks | Using data from A Waiter's Tips Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. In TCIA dataset, there are 100 MRI abnormal brain images (with a tumor). To help other users find your dataset on TCIA entries will be added on the Collection pages of any TCIA dataset your analyses utilized and also to our LUNG CANCER - Lung Cell Squamous Carcinoma TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. X-ray Datasets. The dataset consists of 120 patients. The raw data can be downloaded from kaggle. This dataset comprises four prevalent AML subtypes with defining genetic abnormalities and typical morphological features according to the WHO 2022 classification: (i) APL with PML::RARA fusion, (ii) AML with NPM1 mutation, (iii) AML with CBFB::MYH11 fusion (without NPM1 mutation), and (iv) AML with RUNX1::RUNX1T1 fusion, as well as a control group of healthy stem cell donors. npy）：Pancreas-CT Dataset (kaggle. Learn more Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Sep 18, 2020 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Kaggle LGG Segmentation Dataset. Social Impact of Dataset [More Information Needed] Discussion of Biases [More Information Needed] Other Known Limitations [More Information Needed] Additional Information Dataset Curators This dataset was shared by @nancyalaswad90. Tesla Stock Dataset from 2010 to 2021 Tesla, Inc. Mutations, Copy Numbers, Gene Expression, Protein Levels. Sep 4, 2024 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Below is a list of such third party analyses published using this Collection: Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines (PleThora) Apr 15, 2024 · Introduction: The Brain Resection Multimodal Imaging Database (ReMIND) contains pre- and intra-operative data collected on 114 consecutive patients who were surgically treated with image-guided tumor resection between 2018 and 2022. A large-scale chest CT dataset for COVID-19 detection. ipynb - Ingests a file containing TCIA Series Instance UIDs (e. The offset is a number of days between 3 and 10 years prior to the real date that is consistent for each TCIA image-submitting site and Aug 17, 2022 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Learn more. Sep 21, 2020 · Additional Resources for this Dataset The following external resources have been made available by the data submitters. Learn more EMory BrEast imaging Dataset EMBED is a racially diverse mammography dataset containing 3. Oct 24, 2022 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Apr 12, 2024 · New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics Jan 28, 2025 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. May 29, 2021 · 5. RNA sequence data (Note: 130 subject subset) Third Party Analyses of this Dataset. Jul 3, 2023 · TCIA_SegPC_dataset ├─test │ └─x ├─train │ ├─x │ └─y └─valid ├─x └─y Each x folder of the dataset contains the ordinary image files of Multiple Myeloma Plasma Cells, and y folder contains the mask files to identify each Cell of the ordinary image files. ; 2 Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA. This dataset was used in a real-time image recognition study. This model works on the publicly available dataset known as TCGA-LGG and TCIA. Jan 31, 2018 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Citation Information [More Information Needed] Nov 12, 2021 · Inclusion of our dataset into TCIA provides both medical researchers and bioinformaticians with a public resource for education and algorithm improvement. Aug 1, 2022 · However, large, well annotated datasets are needed to make further progress in the field. 65, Oct 2020. Jun 26, 2023 · This research proposes an improved fine-tuned model based on CNN with ResNet50 and U-Net to solve this problem. It also includes tools for dataset curation and management, educational courses, tutorials on dataset analysis, and access to all publicly available medical dataset checkpoints and Dec 31, 2021 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. environ['KAGGLE_KEY'] = '<api-key>' Run that with your information, then, if you're worried about exposing your API key, remove it Jan 23, 2025 · This comprehensive list features prominent publications and resources related to medical datasets, particularly those used in imaging and electronic health records. These are two-channel grayscale volumetric datasets in which one channel is the fluorescent nuclear stain (TO-PRO-3) and the second channel is the eosin stain. Zooming in on Wildlife: 5400 Animal Images Across 90 Diverse Classes Face Data of 31 different classes. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Apr 10, 2024 · Additional Publications using this dataset: Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, and Devprakash Satpathy, "GCTI-SN: Geometry-Inspired Chemical and Tissue Invariant Stain Normalization of Microscopic Medical Images," Medical Image Analysis, vol. " Computers in Biology and Medicine, 2019. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data. The dataset is comprised of 2D, synthetic 2D (C-view), and 3D (digital breast tomosynthesis, i. net Dec 22, 2020 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Jan 17, 2025 · COVID-CT Dataset – Comprises CT scans from patients diagnosed with COVID-19. See full list on wiki. Affiliations 1 Frederick National Laboratory for Cancer Research, Cancer Imaging Informatics Lab, National Institute of Health, Frederick, MD, USA. In this paper, we used two datasets. Dataset used in: Mateusz Buda, AshirbaniSaha, Maciej A. Oct 20, 2023 · This dataset was derived from tracked biopsy sessions using the Artemis biopsy system, many of which included image fusion with MRI targets. May 24, 2024 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Learn more Mar 7, 2023 · The fused HDF5 datasets (2X downsampled compared to the original data) are the rawest form of the imaging data that is provided in this TCIA collection. Feb 24, 2015 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Jul 31, 2017 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. This is a python interface for the TCGA-LGG dataset of brain MRIs for Lower Grade Glioma segmentation. gz）：PANCREAS-CT - The Cancer Imaging Archive (TCIA) Kaggle链接（. Explore and run machine learning code with Kaggle Notebooks | Using data from [Private Datasource] Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. This dataset consists of previously open sourced depersonalised head and neck scans, each segmented with full volumetric regions by trained radiographers according to standard segmentation class definition found in the atlas proposed in Brouwer et al (2015). Oct 25, 2024 · 当前，tcia已成为全球癌症影像研究的重要基石，其数据被广泛应用于癌症诊断、治疗方案优化以及新药研发等多个领域。tcia不仅提供了高质量的影像数据，还通过与临床信息的结合，支持了多模态数据分析和机器学习模型的训练。 Apr 10, 2024 · Additional Publications using this dataset: Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, and Devprakash Satpathy, "GCTI-SN: Geometry-Inspired Chemical and Tissue Invariant Stain Normalization of Microscopic Medical Images," Medical Image Analysis, vol. The NIH-PCT dataset met the criteria of level A on the MIDaR scale. 82 abdominal contrast enhanced 3D CT scans provided by NIH. Patients received a 3D transrectal ultrasound scan, after which nonrigid registration (e. Flexible Data Ingestion. MICCAI's Dataset on Brain Tumor Segmentation(Year 2019) Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. “fusion”) was performed between real-time ultrasound and preoperative MRI, enabling biopsy cores to be sampled from MR regions of interest. It contains 20 normal brain images and 15 abnormal brain Oct 22, 2020 · Additional Resources for this Dataset The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data. TCIA manifest file or CSV of UIDs) and creates reports that summarize those scans; TCIA_Aspera_CLI_Downloads. Mar 29, 2023 · Segmenting Soft Tissue Sarcomas Dataset 是一套医学 PET-CT 图像数据集，数据均来自于手术病理确认的软组织肉瘤，它是 TCIA 研究的预处理子集。 该 数据集 由 Kaggle 于 20 1 5 年发布，相关论文有《A radiomics model from joint FDG - PET and MRI texture features for the predi ct ion of lung Apr 15, 2024 · TCIA Dates: dates (be they birth dates, imaging study dates, etc. It also stands out from other publicly available datasets by providing early postoperative studies and segmentations, filling the gap in preoperative-focused datasets. The offset is a number of days between 3 and Nov 11, 2022 · Unique radiogenomic dataset from a Non-Small Cell Lung Cancer (NSCLC) cohort of 211 subjects. The proposed CNN and fine-tuned ResNet50 model are used to detect and classify the tumor or no-tumor images. Apr 12, 2024 · The following external resources have been made available by the data submitters. ipynb - A short tutorial on how to download TCIA datasets that are made available through Aspera via the command line (rather than via the Aspera Nov 29, 2023 · New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics Feb 13, 2023 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Login or Register | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Apr 12, 2024 · Some data in this collection contains images that could potentially be used to reconstruct a human face. This dataset contains brain magnetic resonance images together with manual FLAIR abnormality segmentation masks. Oct 13, 2023 · Summary. g. Nov 9, 2018 · This dataset contains color images of objects at every 5 angles in a 360 degree rotation. Apr 15, 2024 · TCIA Dates: dates (be they birth dates, imaging study dates, etc. Jun 18, 2020 · This collection contains CT scans and segmentations from subjects from the training set of the 2019 Kidney and Kidney Tumor Segmentation Challenge (KiTS19). Below New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics Download Open Datasets on 1000s of Projects + Share Projects on One Platform. The data are organized as “collections”; typically patients’ imaging related by a common disease (e. e. csv; edit configs. Mazurowski "Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. py to parse the full reports and convert them to csv Apr 12, 2024 · Additional Resources for this Dataset. A dataset for classify brain tumors. May 29, 2020 · Dates: TCIA and TCGA handle dates differently, and there are no immediate plans to reconcile: TCIA Dates: dates (be they birth dates, imaging study dates, etc. py to train a classification model; run test. . Apr 18, 2019 · TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. Additional Resources for this Dataset. net before accessing the data. ) in the Digital Imaging and Communications in Medicine (DICOM) headers of TCIA radiology images have been offset by a random number of days. Here is some information regarding this dataset: Apr 17, 2024 · New TCIA Dataset Analyses of Existing TCIA Datasets Submission and De-identification Overview Access The Data (current) Data Portals Dashboard Data Usage Policies and Restrictions Browse Collections Browse Analysis Results Search Radiology Portal Search Histopathology Portal Rest API Data Analysis Centers Data Usage Statistics PROSTATEx Challenge (November 21, 2016 to February 16, 2017) SPIE, along with the support of the American Association of Physicists in Medicine (AAPM) and the National Cancer Institute (NCI), conducted a “Grand Challenge” on quantitative image analysis methods for the diagnostic classification of clinically significant prostate lesions. This collection contains images from 422 non-small cell lung cancer (NSCLC) patients. House Prices - Advanced Regression Techniques | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 4M screening and diagnostic images from 110,000 patients collected from 2013-2020, with an equal representation of black and white women. OK, Got it. All samples were processed in the Munich Leukemia Laboratory (MLL), scanned using equipment developed at Fraunhofer IIS and post-processed using software developed at Helmholtz Munich. Oct 16, 2024 · 数据获取（. The first one obtained from TCIA (the Cancer Imaging Archive, brain tumor 2017 ) namely, TCIA dataset. The dataset comprises Computed Tomography (CT), Positron Emission Tomography (PET)/CT images, semantic annotations of the tumors as observed on the medical images using a controlled vocabulary, segmentation maps of tumors in the CT scans, and quantitative values obtained from the PET/CT scans. Jul 17, 2017 · This data container describes both computer-aided and manually-corrected segmentation labels for the pre-operative multi-institutional scans of The Cancer Genome Atlas (TCGA) Glioblastoma Multiforme (GBM) collection, publicly available in The Cancer Imaging Archive (TCIA), coupled with a rich panel of radiomic features along with their corresponding skull-stripped and co-registered multimodal Aug 1, 2021 · Three datasets met our criteria: The National Institutes of Health-Pancreas CT (NIH-PCT) dataset [23], the TCIA-PDA dataset [24], and the Medical Segmentation Decathlon (MSD) dataset [25]. It includes patient-level labels, image-level annotations, and tumor-level labels with all cases confirmed by follow-up care or biopsy result. Licensing Information The license for this dataset is cc-by-nc-sa-4. environ['KAGGLE_USERNAME'] = '<your-username>' os. Jul 11, 2024 · Summary. The test and validation sets were created Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Jun 9, 2023 · This dataset is unique in its inclusion of patients who underwent extensive resection of > 95% of the enhancing tumor. py to configure the training process; run train. The offset is a number of days between 3 and TCIA_Series_UID_Report. In addition to publishing new TCIA datasets we encourage the community to publish analyses derived from existing TCIA datasets. TCIA encourages the community to publish your analyses of our datasets. For these patients pretreatment CT scans, manual delineation by a radiation oncologist of the 3D volume of the gross tumor volume and clinical outcome data are available. mtacojs mrecq avqybb uqga yjxqnee ebpit fkknnbm ixasoa sxzi mbvxxjt jdj plh zsak tvr zapc