MAP-MIL: Dual-branch collaborative learning of mask enhancement and pseudo-bag generation for whole slide image classification
- 25 November 2025
- journal article
- Published by Elsevier in Expert Systems with Applications
- Vol. 302
Abstract
No abstract availableFunding Information
- China Postdoctoral Science Foundation (2024M760378)
- National Natural Science Foundation of China (U24B20188)
- Heilongjiang Provincial Science and Technology Department (GZ20220088)
- Science and Technology Department, Heilongjiang Province
This publication has 26 references indexed in Scilit:
- AEM: Attention Entropy Maximization for Multiple Instance Learning Based Whole Slide Image Classification2025
- MSMMIL: Multi-scan Mamba-based Multiple Instance Learning for whole slide image classificationKnowledge-Based Systems, 2025
- Virtual staining for pathology: Challenges, limitations and perspectivesIntelligent Oncology, 2025
- Multi-instance learning in the presence of positive and unlabeled bagsExpert Systems with Applications, 2024
- Hybrid multiple instance learning network for weakly supervised medical image classification and localizationExpert Systems with Applications, 2024
- Exploring Multiple Instance Learning (MIL): A brief surveyExpert Systems with Applications, 2024
- ProDiv: Prototype-driven consistent pseudo-bag division for whole-slide image classificationComputer Methods and Programs in Biomedicine, 2024
- Cross-scale multi-instance learning for pathological image diagnosisMedical Image Analysis, 2024
- Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysisMedical Image Analysis, 2023
- Transformer-based unsupervised contrastive learning for histopathological image classificationMedical Image Analysis, 2022