Topics / #medical-imaging

Medical-imaging projects on GitHub

Deep learning applied to medical scans and imaging data.

As of October 18, 2026, the most-starred Medical-imaging projects on GitHub are datasets (22.1K stars), deep-learning-drizzle (13K stars) and libvips (11.7K stars). GitHub.Locker tracks 8 Medical-imaging repositories with 69.8K stars combined. The fastest-growing on October 17 was presidio, with +17 stars in a day.

8Projects

69.8KStars in total

+24Stars in a day

Browse in the catalog →github.com/topics/medical-imaging ↗

Hot right now

Most stars gained in a day · Oct 17

+17

presidio

data-privacy-stack/presidio · ★ 11.4K

An open-source framework (SDK) that detects, redacts, masks and anonymizes sensitive data (PII) — names, credit card numbers, SSNs, phone numbers — in text, images and structured data.

deep-learning-drizzle

kmario23/deep-learning-drizzle · ★ 13K

A curated index that collects links to full video lectures and course materials for Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision and NLP courses taught at top universities worldwide.

libvips

libvips/libvips · ★ 11.7K

libvips is a fast image processing library with low memory needs, written in C. Compared to similar libraries it runs quickly and uses little memory, and it is demand-driven and horizontally threaded.

datasets

huggingface/datasets · ★ 22.1K

A lightweight Python library from Hugging Face that gives one-line dataloaders for a huge catalog of ready-to-use public datasets on the HF Hub, plus fast, reproducible preprocessing for Hub and local data.

The all-time top

8 projects · by stars

#1 · huggingface/datasets
datasets
A lightweight Python library from Hugging Face that gives one-line dataloaders for a huge catalog of ready-to-use public datasets on the HF Hub, plus fast, reproducible preprocessing for Hub and local data.
22.1K
#2 · kmario23/deep-learning-drizzle
deep-learning-drizzle
A curated index that collects links to full video lectures and course materials for Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision and NLP courses taught at top universities worldwide.
13K
#3 · libvips/libvips
libvips
libvips is a fast image processing library with low memory needs, written in C. Compared to similar libraries it runs quickly and uses little memory, and it is demand-driven and horizontally threaded.
11.7K

4
presidio
11.4Kdata-privacy-stack/presidio · Python
An open-source framework (SDK) that detects, redacts, masks and anonymizes sensitive data (PII) — names, credit card numbers, SSNs, phone numbers — in text, images and structured data.
5
awesome-semantic-segmentation
10.8Kmrgloom/awesome-semantic-segmentation
A curated list of resources for semantic segmentation: network architectures, papers, code implementations, datasets, benchmarks, annotation tools, and losses used in the field.
6
nnUNet_att_position_correction
354qpuchen/nnUNet_att_position_correction · Python
This is the official PyTorch code for the MICCAI 2023 STS Challenge (3D tooth segmentation from CBCT scans) by team sdkxd, which extends nn-UNet with axial attention and a positional correction module to clean up abnormal segmentation points.
7
NeuroMorph-Assessment
251ruoyuw22-byte/NeuroMorph-Assessment · Python
NeuroMorph Assessment (NMA) is an automated structural MRI morphometry system that integrates CAT12 processing, brain tissue quantification, visualization, and automated report generation into one workflow.
8
damo-radar
207alibaba-damo-academy/damo-radar · Python
RADAR is a generalist vision-language AI model for abdominal CT diagnosis, trained on over 400,000 contrast-enhanced abdominal CT exams with 15 million anatomy-aware image-text pairs derived directly from clinical reports.