4 papers
Robust by Design: A Continuous Monitoring and Data Integration Framework for Medical AI
Mohammad Daouk, Jan Ulrich Becker, Neeraja Kambham +3
Adaptive medical AI models often face performance drops in dynamic clinical environments due to data drift. We propose an autonomous continuous monitoring and data integration fram…
ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation
Khang Le, Ha Thach, Anh M. Vu +9
Weakly supervised semantic segmentation (WSSS) in histopathology relies heavily on classification backbones, yet these models often localize only the most discriminative regions an…
DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation
Anh M. Vu, Khang P. Le, Trang T. K. Vo +13
Weakly supervised semantic segmentation (WSSS) in histopathology seeks to reduce annotation cost by learning from image-level labels, yet it remains limited by inter-class homogene…
LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation
Khang Le, Anh Mai Vu, Thi Kim Trang Vo +7
Weakly supervised semantic segmentation (WSSS) in histopathology reduces pixel-level labeling by learning from image-level labels, but it is hindered by inter-class homogeneity, in…