MedMNIST
importeddata/medmnist
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- MedMNIST
- Country
- unknown
- Homepage
- medmnist.com/
- Repository
- github.com/MedMNIST/MedMNIST
- Documentation
- unknown
- Tags
- 2d · 3d · automl · benchmark · classification · dataset · decathlon · deep-learning
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MedSegBench2d · benchmark
[pip install medsegbench] 35x Standardized Medical Segmentation Datasets from Different Data Modalities
- Asclepios-DICOM-Viewer2d · 3d
Bachelor thesis project. A DICOM Viewer written in C++, QT and VTK.
- ldct-benchmark2d · 3d
A benchmark for deep learning-based low dose CT image denoising
- medpy2d · 3d
Medical image processing in Python
- MIPsegmentatorV12d · 3d
A 3D lesion segmentation method on whole-body PET images including automated quality control.
- sofima2d · 3d
Scalable Optical Flow-based Image Montaging and Alignment
- api.github.com/repos/MedMNIST/MedMNISTretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-01-11, 1389 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/10.json→ .entries["medmnist"]
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