DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
-
Updated
Apr 29, 2024 - Python
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
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)
Multiple instance learning library for Python
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
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.
[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping
Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images
Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
Add a description, image, and links to the multiple-instance-learning topic page so that developers can more easily learn about it.
To associate your repository with the multiple-instance-learning topic, visit your repo's landing page and select "manage topics."