multiple-instance-learning

There are 6 repositories under multiple-instance-learning topic.

binli123 / dsmil-wsi
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
deep-learning multiple-instance-learning whole-slide-imaging whole-slide-image tumor-detection self-attention weakly-supervised-learning histopathology deep-neural-networks semi-supervised-learning self-supervised-learning pytorch transformer visiontransformer
Language:Python 444
yuantn / MI-AOD
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
cvpr cvpr2021 mil multiple-instance-learning object-detection active-learning
Language:Python 341
lingxitong / MIL_BASELINE
A library that integrates different MIL methods into a unified framework
ai4pathology multiple-instance-learning whole-slide-image
Language:Python 261
HumanBehaviorBKU
dolongbien / HumanBehaviorBKU
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
deep-learning abnormal-behavior-detection road-accident-detection 3d-convolutional-network multiple-instance-learning theano keras caffe road-accident-dataset django-application ranking-loss anomaly-detection human-behavior human-activity-recognition c3d-intel-caffe c3d
Language:Jupyter Notebook 166
ChongQingNoSubway / DGR-MIL
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]
multiple-instance-learning whole-slide-imaging histopathology histopathology-image-analysis self-attention transformer tumor-classification tumor-detection tumor-heterogeneity weakly-supervised-learning
Language:Python 162
MarvinLer / tcga_segmentation
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
multiple-instance-learning image-segmentation histopathology tumor-segmentation whole-slide-imaging wsi miccai tcga slide-image-segmentation tcga-data weakly-supervised-learning pathology computational-pathology data-efficient medical-imaging segmentation
Language:Python 141
dazhangyu123 / ACMIL
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
acmil bracs camelyon16 computational-pathology digital-pathology histopathology multiple-instance-learning pathology-image weakly-supervised-learning whole-slide-image
Language:Python 118
ChongQingNoSubway / PDL
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
multiple-instance-learning histopathology histopathology-image-analysis histopathology-images tumor-detection weakly-supervised-learning whole-slide-image whole-slide-imaging
Language:Python 106
vasgaowei / pytorch_MELM
The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection
min-entropy multiple-instance-learning weakly-supervised-detection
Language:Python 102
liupei101 / Pipeline-Processing-TCGA-Slides-for-MIL
This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.
histopathology-image-analysis multiple-instance-learning tcga whole-slide-imaging
Language:Python 80
miccaiif / WENO
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
knowledge-distillation multiple-instance-learning neurips-2022 weakly-supervised-learning whole-slide-image
Language:Python 67
liupei101 / PseMix
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification (IEEE TMI 2024)
generalization mixup multiple-instance-learning pseudo-bags robustness whole-slide-images
Language:Python 66
rosasalberto / mil
Multiple instance learning library for Python
apr deep-mil mil miles mnist-bags-dataset multiple-instance-learning python
Language:Python 65
Franblueee / torchmil
Deep Multiple Instance Learning library for Pytorch
deep-learning machine-learning multiple-instance-learning pytorch whole-slide-image medical-imaging python ct-scan
Language:Python 62
YashSharma / C2C
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
deep-learning multiple-instance-learning weakly-supervised-learning whole-slide-imaging histopathology
Language:Python 61
bianhao123 / Mixed_supervision
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
computational-pathology histopathology miccai2022 multiple-instance-learning pytorch pytorch-lightning
Language:Python 54
can-can-ya / QPMIL-VL
✨ [AAAI 2025] Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
incremental-learning multiple-instance-learning vision-language-model whole-slide-image-classification continual-learning lifelong-learning weakly-supervised-learning
Language:Python 46
jafarinia / snuffy
Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images
deep-le deep-learning multiple-instance-learning self-supervised-learning sparse-transformer
Language:Python 44
liupei101 / AdvMIL
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images (Medical Image Analysis 2024)
adversarial-learning multiple-instance-learning survival-analysis whole-slide-image
Language:Python 39
PhilipChicco / MICCAI2020mil
MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
histopathology-images multiple-instance-learning representation-learning weakly-supervised-learning wsi-images
Language:Python 39
miccaiif / DGMIL
Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
classification miccai2022 multiple-instance-learning weakly-supervised-learning whole-slide-image
Language:Python 35
MinZHANG-WHU / CDMI-Net
The implementation of CDMI-Net in Paper - Deep Multiple Instance Learning for Landslide Mapping
deep-learning remote-sensing change-detection multiple-instance-learning landslide-mapping unet pytorch attention-mechanism level-set-method siamese-network
Language:Python 28
mskcc / mimsi
Microsatellite Instability Classification using Multiple Instance Learning
cancer-genomics deep-learning genomics machine-learning multiple-instance-learning
Language:Python 26
BearCleverProud / HAG-MIL
Repository for Hierarchical Attention-Guided Multiple Instance Learning
computational-pathology medical-transformer multiple-instance-learning whole-slide-image-classification
Language:Python 25
sagizty / MIL-SI
Official release of Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification CMPB
multiple-instance-learning
Language:Jupyter Notebook 25
agentdr1 / LA_MIL
Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
artificial-intelligence deep-learning local-attention multiple-instance-learning transformers whole-slide-image genetic-alteration-prediction pytorch
Language:Python 24
bifold-pathomics / xMIL
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
computational-pathology digital-pathology explainability explainable-ai explainable-ml heatmaps histopathology lrp medical-image-analysis multiple-instance-learning pathology xmil
Language:Jupyter Notebook 22
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
contrastive-learning multiple-instance-learning prototype-learning weakly-supervised-learning whole-slide-image
Language:Python 21
PathBench-MIL
Sbrussee / PathBench-MIL
PathBench-MIL: A comprehensive, flexible Benchmarking / AutoML framework for multiple instance learning in Histopathology
automated-machine-learning automl benchmark benchmarking computational-pathology foundation-model histopathology multiple-instance-learning pathology
Language:Python 20
suamin / MIL-RBERT
MIL-RBERT: A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction (BioNLP @ ACL 2020)
bert biobert umls-metathesaurus medline multiple-instance-learning distant-supervision noisy-data relation-extraction bionlp
Language:Python 20
hdcouture / ImageMIL
breast-cancer cancer machine-learning multiple-instance-learning python
Language:Python 18
dazhangyu123 / AEM
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
aem bracs camelyon16 camelyon17 computational-pathology digital-pathology multiple-instance-learning pathology-image weakly-supervised-learning whole-slide-image
Language:Python 16
gu-yaowen / MilGNet
MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
drug-disease-associations drug-repositioning heterogeneous-graph-neural-network meta-path multiple-instance-learning
Language:Python 15
HKU-MedAI / cDPMIL
[ECCV'24] cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
computational-pathology dirichlet-process multiple-instance-learning
Language:Python 15
MUSTANG
AmayaGS / MUSTANG
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
gnn histopathology self-attention multiple-instance-learning whole-slide-image graph-attention
Language:Python 14
JAEarly / MIL-Land-Cover-Classification
Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification".
climate-change land-cover-classification machine-learning multiple-instance-learning
Language:Python 14