Digital Pathology Mil Computer Vision Tools

There are 10 digital pathology mil tools tracked. 3 score above 50 (established tier). The highest-rated is qupath/qupath at 67/100 with 1,307 stars. 1 of the top 10 are actively maintained.

Get all 10 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=computer-vision&subcategory=digital-pathology-mil&limit=20"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

# Tool Score Tier
1 qupath/qupath

QuPath - Open-source bioimage analysis for research

67
Established
2 DigitalSlideArchive/HistomicsTK

A Python toolkit for pathology image analysis algorithms.

66
Established
3 haranrk/DigiPathAI

Tool to visualize gigantic pathology images and use AI to segment cancer...

57
Established
4 mahmoodlab/CLAM

Open source tools for computational pathology - Nature BME

46
Emerging
5 basveeling/pcam

The PatchCamelyon (PCam) deep learning classification benchmark.

43
Emerging
6 CBICA/CaPTk

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform...

42
Emerging
7 Kiemen-Lab/CODAvision

CODAvision - open source medical image labeling tool

39
Emerging
8 mahmoodlab/SISH

Fast and scalable search of whole-slide images via self-supervised deep...

38
Emerging
9 edamontology/edam-bioimaging

An ontology of imaging and related techniques and technologies, image...

37
Emerging
10 cwlkr/torchvahadane

Gpu accelerated vahadane stain normalization for Digital Pathology workflows.

30
Emerging