jas/Skin_Cance_Classificatio
This project aims to classify different types of skin cancer using AI models trained on medical image datasets
jas/Skin_Cance_Classification
I to classify different types of skin cancer from images
Stefan0000/BBBD
Blood Biomarkers for Brain Diseases: A dataset combining normalized gene expression data from the AddNeuroMed Cohort (AD, MCI, and healthy controls) with brain-enriched gene filtering based on GTEx tissue-specific expression patterns. Focuses on ide
gilberto-topp/BratsTCGA-LGG
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) Low Grade Glioma (LGG) collection.
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