maduc7/Histopathology-Datasets
Ressources of histopathology datasets
This is a curated list of publicly available histopathology datasets, useful for training machine learning models. It takes various forms of histopathological images (like whole slide images or patches) and often includes associated annotations or labels. Researchers and scientists in pathology, oncology, and medical imaging can use this resource to find data for tasks like classifying tissue types, segmenting cells, or registering images.
533 stars.
Use this if you are a researcher or data scientist needing specific, pre-labeled histopathology image data to develop or benchmark machine learning models for diagnostic or analytical tasks.
Not ideal if you are looking for ready-to-use analysis tools or software, as this resource primarily provides raw and annotated datasets, not analytical pipelines.
Stars
533
Forks
84
Language
—
License
—
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/maduc7/Histopathology-Datasets"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nilearn/nilearn
Machine learning for NeuroImaging in Python
aramis-lab/clinica
Software platform for clinical neuroimaging studies
TissueImageAnalytics/tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
nipreps/mriqc
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and...
nadeemlab/DeepLIIF
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification...