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The dataset contains 25,000 color images divided into five classes, each class comprising 5,000 images. All images are 768 × 768 pixels in JPEG format.
The TCGA‑PAAD clinical dataset contains clinical data associated with pancreatic adenocarcinoma patients. It is part of the TCGA project, which aims to provide comprehensive genomic and clinical data for various cancers. Clinical data include patient demographics, treatment history, survival information, and other attributes relevant to pancreatic cancer research. The dataset is primarily intended for research and analysis, especially for building machine‑learning models that predict outcomes such as survival, recurrence, or treatment response based on clinical attributes.
