mostafajahanifar / awesome-dg-cpathLinks
Awesome Domain Generalization for Computational Pathology
☆18Updated last year
Alternatives and similar repositories for awesome-dg-cpath
Users that are interested in awesome-dg-cpath are comparing it to the libraries listed below
Sorting:
- ☆15Updated 8 months ago
- ☆20Updated 2 years ago
- GrandQC tool for tissue detection and quality control in pathology☆75Updated 8 months ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆101Updated 8 months ago
- Feather - Lightweight supervised slide foundation models (ICML 2025)☆106Updated 3 months ago
- Pipeline for computational pathology☆38Updated last year
- ☆57Updated 3 years ago
- NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images☆36Updated last year
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆108Updated 9 months ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆56Updated 2 years ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆56Updated 11 months ago
- machine-readable information for the TCGA dataset, mirrored from other sources☆21Updated 3 years ago
- Awesome List of Digital and Computational Pathology Resources☆88Updated 10 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images -…☆12Updated 2 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆84Updated last year
- Standardized benchmark for computational pathology foundation models.☆111Updated last week
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆107Updated last week
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆29Updated 5 years ago
- Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Qu…☆74Updated 9 months ago
- ☆14Updated last year
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆97Updated 11 months ago
- Histopathology Image Analysis☆92Updated 2 years ago
- A tool for rapidly labeling objects using deep learning feature embedding☆33Updated 2 months ago
- This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.☆81Updated 7 months ago
- Solid Tumor Associative Modeling in Pathology☆98Updated last week
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆45Updated 11 months ago
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆51Updated last year
- A Python library for deep learning on whole-slide images☆53Updated 4 years ago
- ☆66Updated last year