multiple-instance-learning
There are 71 repositories under multiple-instance-learning topic.
binli123/dsmil-wsi
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
yuantn/MI-AOD
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
dolongbien/HumanBehaviorBKU
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
MarvinLer/tcga_segmentation
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
ChongQingNoSubway/PDL
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
vasgaowei/pytorch_MELM
The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection
YashSharma/C2C
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
rosasalberto/mil
Multiple instance learning library for Python
miccaiif/WENO
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
bianhao123/Mixed_supervision
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
dazhangyu123/ACMIL
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
PhilipChicco/MICCAI2020mil
MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
miccaiif/DGMIL
Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
liupei101/AdvMIL
[MedIA 2024] The implementation of AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
liupei101/Pipeline-Processing-TCGA-Slides-for-MIL
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
liupei101/PseMix
[IEEE TMI 2024] Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification
MinZHANG-WHU/CDMI-Net
The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping
agentdr1/LA_MIL
Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
giakoumoglou/classification
Classification of the MNIST dataset using various Deep Learning techniques
mskcc/mimsi
Microsatellite Instability Classification using Multiple Instance Learning
suamin/MIL-RBERT
MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)
sagizty/MIL-SI
Official release of Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification
AmayaGS/MUSTANG
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
JAEarly/MIL-Land-Cover-Classification
Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification".
bupt-ai-cz/Thyroid-Cytopathological-Diagnosis-with-AMIL_MSFF
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
gu-yaowen/MilGNet
MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
DeepMicroscopy/Cox_AMIL
Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
howard-hou/UniqueClassCount
Pytorch implementation for ICLR 2020 paper "Weakly Supervised Clustering by Exploiting Unique Class Count"
sotiraslab/SC-MIL
This repo for the paper titled "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"
4pygmalion/ASC3
3ASC: variant prioritization tool leveraging multiple instance learning for rare Mendelian disease genomic testing
gu-yaowen/EquiVS
Employing Molecular Conformations for Ligand-based Virtual Screening with Equivariant Graph Neural Network and Deep Multiple Instance Learning
miccaiif/INS
Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
dai08srhg/MS-DA-MIL-CNN
PyTorch implementation of MS-DA-MIL
pinouche/attention-mechanism_distribution-regression
Code for the KDD 2019 workshop paper. Attention mechanism for distribution regression.
suehiro93/MILIMS_NECO
Theoretically guaranteed shapelet-learning algorithm