Alternatives and similar repositories for Attention-Based-Deep-Multiple-Instance-Learning:

Users that are interested in Attention-Based-Deep-Multiple-Instance-Learning are comparing it to the libraries listed below

• butkej / MIL4Cyto
  Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'
  ☆9Updated 3 years ago
• MarvinLer / SparseConvMIL
  Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726
  ☆26Updated 3 years ago
• srinidhiPY / SSL_CR_Histo
  Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…
  ☆62Updated 2 years ago
• markowetzlab / pathml-tutorial
  A tutorial demonstration of pathml on an example dataset for the manuscript "PathML: A unified framework for WSI analysis with deep learn…
  ☆21Updated 2 years ago
• jcboyd / miccai2022-roigan
  Region-guided CycleGANs for stain transfer
  ☆20Updated last year
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆52Updated last year
• YashSharma / C2C
  Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
  ☆60Updated 3 years ago
• SBU-BMI / champkit
  Benchmarking toolkit for patch-based histopathology image classification.
  ☆38Updated last year
• KatherLab / preProcessing
  ☆43Updated last year
• cvlab-stonybrook / local_learning_wsi
  Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning"
  ☆27Updated 2 years ago
• secrierlab / HistoMIL
  A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.
  ☆28Updated 7 months ago
• liupei101 / AdvMIL
  [MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
  ☆32Updated last year
• nauyan / NucleiSegmentation
  The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
  ☆28Updated 2 years ago
• YohnGuan / NAGCN
  ☆26Updated 2 years ago
• lsheng23 / Practicum
  ☆27Updated 3 years ago
• georg-wolflein / good-features
  Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"
  ☆17Updated 5 months ago
• NKI-AI / hissl
  Histology Self-Supervised Learning
  ☆12Updated 2 years ago
• histocartography / hact-net
  ☆70Updated 3 years ago
• jlevy44 / WSI-GTFE
  Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.
  ☆22Updated 4 years ago
• clemsgrs / hipt
  Re-implementation of HIPT
  ☆18Updated 3 weeks ago
• Zhengyushan / kat
  The code for Kernel attention transformer (KAT)
  ☆31Updated 7 months ago
• 4m4n5 / saasn-stain-normalization
  Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).
  ☆13Updated last year
• digitalpathologybern / hover_next_train
  Training/Evaluation code for HoVer-NeXt
  ☆11Updated last week
• mahmoodlab / Patch-GCN
  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
  ☆133Updated 8 months ago
• DIAGNijmegen / pathology-streaming-pipeline
  Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
  ☆75Updated 2 years ago
• wwyi1828 / CluSiam
  Improving Representation Learning for Histopathologic Images with Cluster Constraints
  ☆17Updated 11 months ago
• TencentAILabHealthcare / SETMIL
  ☆11Updated 2 years ago
• hrlblab / CS-MIL
  ☆44Updated 2 weeks ago
• yfzon / DT-MIL
  ☆36Updated 3 years ago
• PathologyDataScience / NuCLS
  NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
  ☆49Updated 2 years ago