Alternatives and similar repositories for MIL-pathology

Users that are interested in MIL-pathology are comparing it to the libraries listed below

• KatherLab / cancer-metadata
  machine-readable information for the TCGA dataset, mirrored from other sources
  ☆21Updated 3 years ago
• KatherLab / end2end-WSI-preprocessing
  End-to-end pipeline to go from raw H&E slides to normalised extracted features for training
  ☆27Updated last year
• StandWisdom / Radiopathomics-pCR-nCRT
  Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…
  ☆22Updated 4 years ago
• vqdang / H2T
  ☆37Updated 2 years ago
• MICS-Lab / s4_digital_pathology
  ☆24Updated last year
• georg-wolflein / good-features
  Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"
  ☆18Updated last year
• liupei101 / DSCA
  [ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
  ☆22Updated last year
• SBU-BMI / quip_cancer_segmentation
  ☆17Updated 3 years ago
• adamshephard / TIAger
  ☆20Updated 2 years ago
• wenqi006 / SlideGraph
  ☆57Updated 3 years ago
• mdsatria / MultiAttentionMIL
  ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"
  ☆12Updated 2 years ago
• ZacharyWang-007 / G-HANet
  ☆27Updated last year
• AGFoersch / MultiStainDeepLearning
  Code from Foersch et al. (Under Construction / Development)
  ☆37Updated 2 years ago
• superhy / LCSB-MIL
  source code of Inter-MIL: self-interactive multi-instance learning
  ☆15Updated 2 years ago
• jopo666 / HistoPrep
  Preprocessing module for large histological images
  ☆21Updated 2 years ago
• liupei101 / AdvMIL
  AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images (Medical Image Analysis 2024)
  ☆40Updated 2 years ago
• histocartography / hact-net
  ☆71Updated 4 years ago
• alexjfoote / reetoolbox
  Toolbox for measuring adversarial robustness to many transforms
  ☆19Updated 6 months ago
• bmi-imaginelab / SI-MIL
  SI-MIL
  ☆31Updated 10 months ago
• KatherLab / EAGLE
  Efficient Approach for Guided Local Examination in Digital Pathology
  ☆30Updated 6 months ago
• cvlab-stonybrook / local_learning_wsi
  Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning" (MICCAI 2022)
  ☆28Updated 3 years ago
• mahmoodlab / MADELEINE
  MADELEINE: multi-stain slide representation learning (ECCV'24)
  ☆63Updated 9 months ago
• YohnGuan / NAGCN
  ☆24Updated 3 years ago
• scjjb / DRAS-MIL
  Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning
  ☆11Updated last year
• mahmoodlab / varpool
  Variance pooling to incorporate ITH in CPath models - MICCAI 2022
  ☆26Updated 3 years ago
• MHMAILab / auto_lymph
  Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
  ☆35Updated 4 years ago
• wwu98934 / MuRCL
  MuRCL: Multi-instance Reinforcement Contrastive Learning for Whole Slide Image Classification
  ☆27Updated 3 years ago
• mahmoodlab / CRANE
  Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine
  ☆34Updated 3 years ago
• wwu98934 / CBMIL
  CBMIL: Clustering-based Multi-instance Learning Network for Whole Slide Image Classification
  ☆11Updated 2 years ago
• secrierlab / HistoMIL
  A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.
  ☆29Updated last year