Page Information

    Page: NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures
    Page: Spatial Habitat Features derived from Multiparametric Magnetic Resonance Imaging data from Glioblastoma Multiforme cases
    Page: Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group
    Page: Image Data Used in the Simulations of "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends"
    Page: Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection
    Page: Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection
    Page: ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image Collection
    Page: Long and Short Survival in Adenocarcinoma Lung CTs
    Page: NSCLC Radiogenomics: Initial Stanford Study of 26 Cases
    Page: Radiomics outcome prediction in Oropharyngeal cancer
    Page: Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology Images
    Page: Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting
    Page: Data from Head and Neck Cancer CT Atlas
    Page: DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets
    Page: Standardized representation of the TCIA LIDC-IDRI annotations using DICOM
    Page: RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
    Page: Integration of CT-based Qualitative and Radiomic Features with Proteomic Variables in Patients with High-Grade Serous Ovarian Cancer: An Exploratory Analysis
    Page: DICOM SR of clinical data and measurement for breast cancer collections to TCIA
    Page: Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting
    Page: SDTM datasets of clinical data and measurements for selected cancer collections to TCIA
    Page: High Resolution Prostate Segmentations for the ProstateX-Challenge
    Page: Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images
    Page: Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines (PleThora)
    Page: Standardization in Quantitative Imaging: A Multi-center Comparison of Radiomic Feature Values
    Page: Multi-Institutional Paired Expert Segmentations and Radiomic Features of the Ivy GAP Dataset
    Page: MRQy quality measures for TCIA MRI datasets
    Page: PROSTATEx Zone Segmentations