To enhance the value of TCIA collections we encourage the research community to publish their analyses of existing TCIA image collections. Examples of this kind of data includes radiologist or pathologist annotations, image classifications, segmentations, radiomics features, or derived/reprocessed images. Similar to submitting new image collections, these data are reviewed by the TCIA Advisory Group for relevance and curated using our normal processes to assure data are de-identified. However, TCIA does not certify the quality of the analyses themselves (e.g. accuracy of segmentation on a given scan). Researchers should always carefully review the data and any related publications before deciding whether these analyses could be useful in their work.
Title | Cancer Type | Location | Subjects | Collections Analyzed | Analysis Artifacts on TCIA | Updated |
---|---|---|---|---|---|---|
Thoracic Volume and Pleural Effusion Segmentations in Diseased Lungs for Benchmarking Chest CT Processing Pipelines | Lung | Lung | 402 | NSCLC-Radiomics | Thoracic segmentations, pleural effusion segmentations, image features | 2020-04-08 |
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach | Lung, Head-Neck | Lung, Head-Neck | 701 | NSCLC-Radiomics, NSCLC-Radiomics-Genomics, Head-Neck-Radiomics-HN1, NSCLC-Radiomics-Interobserver1, RIDER Lung CT | Tumor segmentations and radiomic features | 2020-03-23 |
Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell Death | Glioblastoma | Brain | 99 | TCGA-GBM | N/A | 2016-08-02 |
Glioblastoma | Brain | 75 | TCGA-GBM | Radiologist assessments of image features | 2014-11-12 | |
Glioblastoma | Brain | 45 | TCGA-GBM | Radiologist assessments of image features and hemodynamic parameters | 2014-07-24 | |
Breast | Breast | 48 | TCGA-BRCA | N/A | 2014-11-12 | |
Renal Clear Cell Carcinoma | Kidney | 103 | TCGA-KIRC | Radiologist assessments of image features | 2015-05-28 | |
Lung | Chest | 102 | LIDC-IDRI | N/A | 2015-02-24 | |
Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features | Glioblastoma | Brain | 55 | TCGA-GBM | Tumor segmentations | 2014-11-05 |
Glioblastoma | Brain | 74 | TCGA-GBM | N/A | 2015-08-20 | |
NCI-ISBI 2013 Challenge: Automated Segmentation of Prostate Structures | Prostate | Prostate | 80 | Prostate structure segmentations | 2015-08-20 | |
Lung | Chest | 26 | NSCLC Radiogenomics | N/A | 2013-03-01 | |
Head and Neck Squamous Cell Carcinoma | Head-Neck | 215 | HNSCC | Radiation Therapy Structures | 2019-07-11 | |
Crowds Cure Cancer: Data collected at the RSNA 2017 annual meeting | Lung Adenocarcinoma, Renal Clear Cell, Liver, Ovarian | Chest, Kidney, Liver, Ovary | 352 | TCGA-LUAD, TCGA-KIRC, TCGA-LIHC, TCGA-OV | Lesion measurements | 2018-05-17 |
Colon, Lung, Breast, Glioblastoma | Colon, Chest, Breast, Brain | 40 | CT COLONOGRAPHY, LIDC-IDRI, TCGA-BRCA, TCGA-GBM | N/A | 2016-12-08 | |
QIN multi-site collection of Lung CT data with Nodule Segmentations | Lung | Chest | 31 | Lung Phantom, LIDC-IDRI, QIN LUNG CT, RIDER Lung CT | Tumor segmentations | 2018-12-18 |
ROI Masks Defining Low-Grade Glioma Tumor Regions In the TCGA-LGG Image Collection | Low Grade Glioma | Brain | 188 | TCGA-LGG | Radiologist assessments of image features, tumor segmentations | 2017-03-17 |
Breast | Breast | 84 | TCGA-BRCA | Radiologist assessments of image features, lesion segmentations, radiomic features, and multi-gene assays | 2018-09-04 | |
Standardized representation of the TCIA LIDC-IDRI annotations using DICOM | Lung | Chest | 1,010 | LIDC-IDRI | Tumor segmentations, image features | 2020-03-26 |
DICOM-SEG Conversions for TCGA-LGG and TCGA-GBM Segmentation Datasets | Glioblatoma, Low Grade Glioma | Brain | 243 | TCGA-GBM, TCGA-LGG | Tumor segmentations | 2018-11-20 |
High-Grade Serous Ovarian Cancer | Ovary | 93 | TCGA-OV | Radiologist assessments of image features, genomic subtypes | 2016-08-02 | |
Lung Adenocarcinoma | Chest | 40 | LungCT-Diagnosis, QIN LUNG CT | Tumor segmentations and radiomic image features | 2017-08-11 | |
Tumor-Infiltrating Lymphocytes Maps from TCGA H&E Whole Slide Pathology Images | Various (13 collections) | Various (13 collections) | 4,759 | Various (13 TCGA collections) | Deep learning based computational stain for staining tumor-infiltrating lymphocytes (TILs) | 2018-12-17 |
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-GBM collection | Glioblastoma | Brain | 135 | TCGA-GBM | Tumor segmentations and radiomic image features | 2017-07-17 |
Segmentation Labels and Radiomic Features for the Pre-operative Scans of the TCGA-LGG collection | Low Grade Glioma | Brain | 108 | TCGA-LGG | Tumor segmentations and radiomic image features | 2017-07-17 |
SDTM datasets of clinical data and measurements for selected cancer collections to TCIA | Breast, Glioblastoma | Breast, Brain | 516 | ISPY1, BREAST-DIAGNOSIS, Breast-MRI-NACT-Pilot, TCGA-BRCA, Ivy GAP | Standardized (SDTM format) conversions of clinical and image analysis data | 2019-06-21 |
Crowds Cure Cancer: Data collected at the RSNA 2018 annual meeting | Various (13 collections) | Various (13 collections) | 324 | Various (13 collections) | Lesion measurements | 2019-05-30 |
Lung | Chest | 31 | RIDER Lung CT | Tumor segmentations | 2020-02-13 | |
Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images | Various (14 collections) | Various (14 collections) | Various (14 TCGA collections) | Nuclei segmentations | 2020-02-08 |