Last updated: 12-09-2026

Media Attributions

Image used in case study: Supporting AI-based germline mutation pre-screening with comprehensive whole slide image datasets

CPTAC-BRCA, Case 06BR014. National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). The Clinical Proteomic Tumor Analysis Consortium Breast Invasive Carcinoma Collection (CPTAC-BRCA) (Version 1) [data set]. The Cancer Imaging Archive; 2020. doi:10.7937/TCIA.CAEM-YS80. Slide ID: b2d62dca-3741-4d59-92b8-bdcfed. CC BY 4.0. Image embedded in Aigora-created visual.

Image used in case study: Advancing microsatellite instability testing with gastric cancer H&E-stained whole slide image data

TCGA-STAD, Case TCGA-F1-6874. Clunie D, Clifford W, Pot D, Wagner U, Farahani K, Kim E, et al. DICOM converted Slide Microscopy images for the TCGA-STAD collection [data set]. Zenodo; 2024. doi:10.5281/zenodo.13346255. Slide ID: TCGA-F1-6874-01Z-00-DX1. CC BY 3.0. Image cropped from original.

Image used in case study: Identifying novel tissue biomarkers in inflammatory and autoimmune diseases with curated whole slide image data and biospecimens

Crohn's colitis - biopsy, intermed. mag. CoRus13. Wikimedia Commons. CC BY-SA 4.0. Image cropped from original.

Images used in case study: Fueling AI-driven early detection of renal cancer with longitudinal multimodal data

TCGA-KIRC, Cases TCGA-BP-4999 and TCGA-BP-5006. Akin O, Elnajjar P, Heller M, et al. The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma Collection (TCGA-KIRC) (Version 3) [data set]. The Cancer Imaging Archive; 2016. doi:10.7937/K9/TCIA.2016.V6PBVTDR. CC BY 3.0. Images cropped from original.

Images used in case study: Accelerating AI-driven breast cancer screening with globally diverse, pathology-confirmed mammography datasets

CMMD, Cases D1-0047 and D1-0038. Cui C, Li L, Cai H, Fan Z, Zhang L, Dan T, et al. The Chinese Mammography Database (CMMD): an online mammography database with biopsy confirmed types for machine diagnosis of breast [data set]. The Cancer Imaging Archive; 2021. doi:10.7937/TCIA.EQDE-4B16. CC BY 3.0. Images cropped from original.

‍