ºÚÁÏÍø

Skip to Main Content

Dataset Directory

Connecting machine learning practitioners with meaningful datasets

Well-annotated data is required to develop effective machine learning tools for the clinical environment. With the Dataset Directory, we connect machine learning practitioners with accessible and meaningful datasets for their projects.

Here are organizations to contact about their datasets or with datasets ready to be pulled directly from their websites. 

Contact us to add a dataset to our directory

  • Cancer Genome Atlas Cervical Kidney Renal Papillary Cell Carcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Breast Invasive Carcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

    A medical image of breast cancer

  • Cancer Genome Atlas Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Colon Adenocarcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Esophageal Carcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

    A medical image of esophageal cancer

  • Cancer Genome Atlas Kidney Chromophobe

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Liver Hepatocellular Carcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Low Grade Glioma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Lung Adenocarcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

    A medical image of lung cancer

  • Cancer Genome Atlas Ovarian Cancer

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

    Photo of a benign ovarian tumor

  • Cancer Genome Atlas Prostate Adenocarcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Rectum Adenocarcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Sarcoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Stomach Adenocarcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

    Medical image of stomach cancer

  • Cancer Genome Atlas Thyroid Cancer

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

    A medical imaging scan of thyroid cancer

  • Cancer Genome Atlas Urothelial Bladder Carcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • Cancer Genome Atlas Uterine Corpus Endometrial Carcinoma

    This data collection is part of a larger effort to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA).

  • CHESTXRAY14

    Frontal view chest X-ray images labeled considering 14 common thorax disease conditions.

    A chest x-ray image

  • MURA

    MURA (musculoskeletal radiographs) is a large dataset of bone X-rays. Algorithms are tasked with determining whether an X-ray study is normal or abnormal.

  • Osteoarthritis Initiative

    This is a multi-center, longitudinal, prospective observational study of knee osteoarthritis (OA). The overall aim of the OAI is to develop a public domain research resource to facilitate the scientific evaluation of biomarkers for osteoarthritis as potential surrogate endpoints for disease onset and progression.