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We propose a novel multi-scale multi-instance contrastive learning framework to learn more discriminative feature representation across scales for pathological ...
We propose a novel multi-scale multi-instance contrastive learning framework to learn more discriminative feature representation across scales for pathological ...
Sep 20, 2024 · This study presents a novel Equiangular Direction Method (EDM) to solve a multi-objective optimization problem.
WSI classification can be cast as a multiple instance learning (MIL) problem when only slide-level labels are available. We propose a MIL-based method for WSI ...
Aug 21, 2024 · MSCPT employs the frozen large language model to generate pathological visual language prior knowledge at multi-scale, guiding hierarchical prompt tuning.
In this paper, we propose a novel multi-scale contrastive learning model and attention module that take ad- vantage of the multiple magnification levels of WSIs ...
A novel Multi-instance Rein- forcement Contrastive Learning framework (MuRCL) is proposed to deeply mine the inherent semantic relationships of different ...
Multiple instance learning (MIL) is a powerful technique to classify whole slide images (WSIs) for diagnostic pathology. The key challenge of MIL on WSI ...
Aug 18, 2024 · This survey provides a comprehensive overview of the challenges and methodologies associated with applying MIL to WSI analysis.
Apr 30, 2024 · This paper presents MAMILNet, a novel multi-scale attentional multi-instance learning framework for whole slide pathological image processing.