AstraZeneca / ibd-interpretLinks
We trained high performing open source models on image scans of tissue biopsies to predict endoscopic categories in inflammatory bowel disease. These predictive models can help us better understand the disease pathology and represent a step towards automated clinical recruitment strategies.
☆16Updated 2 years ago
Alternatives and similar repositories for ibd-interpret
Users that are interested in ibd-interpret are comparing it to the libraries listed below
Sorting:
- Inference code for HoVer-NeXt☆35Updated 2 months ago
- Part 1 of Allen Cell and Structure Segmenter: classic image segmentation workflow☆26Updated 11 months ago
- Interactive deep learning whole-cell segmentation and thresholding using partial annotations☆39Updated last week
- A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues☆32Updated 4 months ago
- A tool for rapidly labeling objects using deep learning feature embedding☆32Updated 10 months ago
- Training/Evaluation code for HoVer-NeXt☆14Updated 5 months ago
- A Python library for deep learning on whole-slide images☆53Updated 3 years ago
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆18Updated 10 months ago
- Pipeline for computational pathology☆35Updated last year
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆101Updated 5 months ago
- ☆32Updated 2 years ago
- 🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images☆71Updated 11 months ago
- Base implementation of the Multi-Encoder Variational AutoEncoder (ME-VAE)