- A list of Medical imaging datasets. Source : https://sites.google.com/site/aacruzr/image-datasets
- An additional, possibly overlapping list can be found at : https://github.com/beamandrew/medical-data
- Center for Invivo Microscopy (CIVM), Embrionic and Neonatal Mouse (H&E, MR) http:https://www.civm.duhs.duke.edu/devatlas/ user guide: http:https://www.civm.duhs.duke.edu/devatlas/UserGuide.pdf
- LONI image data archive https://ida.loni.usc.edu/services/Menu/IdaData.jsp?project=
- Radiology (Ultrasound, Mammographs, X-Ray, CT, MRI, fMRI, etc.)
- Collaborative Informatics and Neuroimaging Suite (COINS) https://portal.mrn.org/micis/index.php?subsite=dx
- The Cancer Imaging Archive (TCIA) http:https://www.cancerimagingarchive.net/ (Collections)
- Alzheimer’s Disease Neuroimaging Initiative (ADNI) http:https://adni.loni.ucla.edu/
- The Open Access Series of Imaging Studies (OASIS) http:https://www.oasis-brains.org/
- Breast Cancer Digital Repository https://bcdr.eu/
- DDSM: Digital Database for Screening Mammography http:https://marathon.csee.usf.edu/Mammography/Database.html
- The Mammographic Image Analysis Society (MIAS) mini-database http:https://peipa.essex.ac.uk/info/mias.html
- Mammography Image Databases 100 or more images of mammograms with ground truth. Additional images available by request, and links to several other mammography databases are provided http:https://marathon.csee.usf.edu/Mammography/Database.html
- NLM HyperDoc Visible Human Project color, CAT and MRI image samples - over 30 images http:https://www.nlm.nih.gov/research/visible/visible_human.html
- CT Scans for Colon Cancer https://wiki.cancerimagingarchive.net/display/Public/CT+COLONOGRAPHY#e88604ec5c654f60a897fa77906f88a6
- [BreastScreening] UTA4: Breast Cancer Medical Imaging DICOM Files Dataset & Resources (MG, US and MRI) https://github.com/MIMBCD-UI/dataset-uta4-dicom
- [MIMBCD-UI] UTA7: Breast Cancer Medical Imaging DICOM Files Dataset & Resources (MG, US and MRI) https://github.com/MIMBCD-UI/dataset-uta7-dicom
- [Facebook AI + NYU FastMRI] includes two types of MRI scans: knee MRIs and the brain (neuro) MRIs, containing training, validation, and masked test sets. Also includes PyTorch data loaders in open-sourced GitHub Repository
- BCNB: Early Breast Cancer Core-Needle Biopsy WSI Dataset, https://bupt-ai-cz.github.io/BCNB/, https://github.com/bupt-ai-cz/BALNMP#bcnb-dataset
- National Cancer Institute Imaging Data Commons (IDC) https://portal.imaging.datacommons.cancer.gov/explore/
- The Cancer Genome Atlas (TCGA) http:https://cancergenome.nih.gov/ https://tcga-data.nci.nih.gov/tcga/
- International Cancer Genome Consortium http:https://icgc.org, (Data portal) http:https://dcc.icgc.org/
- Stanford Tissue Microarray Database (TMA) http:https://tma.im
- MITOS dataset http:https://www.ipal.cnrs.fr/event/icpr-2012
- Cancer Image Database (caIMAGE) https://emice.nci.nih.gov/caimage
- DPA’s Whole Slide Imaging Repository https://digitalpathologyassociation.org/whole-slide-imaging-repository
- ITK Analysis of Large Histology Datasets http:https://www.na-mic.org/Wiki/index.php/ITK_Analysis_of_Large_Histology_Datasets
- Histology Photo Album http:https://www.histology-world.com/photoalbum/thumbnails.php?album=52
- Slide Library of Virtual pathology, University of Leeds http:https://www.virtualpathology.leeds.ac.uk/
- Aperio Images http:https://images.aperio.com/
- HAPS Histology Image Database http:https://hapshistology.wikifoundry.com/
- Microscopy (Cell, Cytology, Biology, Protein, Molecular, Fluorescence, etc.)
- BDGP images from the FlyExpress database www.flyexpress.net
- The UCSB Bio-Segmentation Benchmark dataset http:https://www.bioimage.ucsb.edu/research/biosegmentation
- Pap Smear database http:https://mde-lab.aegean.gr/index.php/downloads
- Histology (CIMA) dataset http:https://cmp.felk.cvut.cz/~borovji3/?page=dataset
- ANHIR dataset https://anhir.grand-challenge.org/
- Genome RNAi dataset http:https://www.genomernai.org/
- Chinese Hamster Ovary cells (CHO) dataset http:https://www.chogenome.org/data.html
- Locate Endogenus mouse sub-cellular organelles (END) database http:https://locate.imb.uq.edu.au/
- 2D HeLa dataset (HeLa) dataset https://ome.grc.nia.nih.gov/iicbu2008/hela/index.html
- Allen Brain Atlas http:https://www.brain-map.org/
- 1000 Functional Connectomes Project http:https://fcon_1000.projects.nitrc.org/
- The Cell Centered Database (CCDB) https://library.ucsd.edu/dc/collection/bb5940732k
- The Encyclopedia of DNA Elements (ENCODE) http:https://genome.ucsc.edu/ENCODE/ user guide: http:https://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001046
- The Human Protein Atlas: http:https://www.proteinatlas.org/
- DRIVE: Digital Retinal Images for Vessel Extraction http:https://www.isi.uu.nl/Research/Databases/DRIVE/ (Ground truth)
- El Salvador Atlas of Gastrointestinal VideoEndoscopy Images and Videos of hi-res of studies taken from Gastrointestinal Video endoscopy http:https://www.gastrointestinalatlas.com/
- BCNB: Early Breast Cancer Core-Needle Biopsy WSI Dataset, https://bupt-ai-cz.github.io/BCNB/, https://github.com/bupt-ai-cz/BALNMP#bcnb-dataset
- http:https://peipa.essex.ac.uk/benchmark/databases/
- http:https://mulan.sourceforge.net/datasets-mlc.html
- https://archive.ics.uci.edu/ml/datasets.php
- Datasets reporting formats for pathologists http:https://www.rcpath.org/publications-media/publications/datasets
- DermNet - Skin disease atlas (23 image classes and 23,000 images): http:https://www.dermnet.com/
- Grand Challenges in Medical Image Analysis https://grand-challenge.org/
- Challenges in global health and development problems https://grandchallenges.org/#/map
- Current state of the art of most used computer vision datasets: Who is the best at X? http:https://rodrigob.github.io/are_we_there_yet/build/
- Automatic Non-rigid Histological Image Registration (ANHIR) challenge https://anhir.grand-challenge.org/
