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

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

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

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

A library that integrates different MIL methods into a unified framework

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

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

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

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.

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

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

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

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

[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

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