DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

A library that integrates different MIL methods into a unified framework

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection

This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.

Deep Multiple Instance Learning library for Pytorch

Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification (IEEE TMI 2024)

Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

Multiple instance learning library for Python

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images

MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.

✨ [AAAI 2025] Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification

nnMIL: A generalizable multiple instance learning framework for computational pathology

AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images (Medical Image Analysis 2024)

MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"

Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.

Microsatellite Instability Classification using Multiple Instance Learning

PathBench-MIL: A comprehensive, flexible Benchmarking / AutoML framework for multiple instance learning in Histopathology

The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping

Official release of Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification CMPB

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

Repository for Hierarchical Attention-Guided Multiple Instance Learning

[NeurIPS 2025] Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling

Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch