3 papers
cs.CV2025
SemaMIL: Semantic-Aware Multiple Instance Learning with Retrieval-Guided State Space Modeling for Whole Slide Images
Lubin Gan, Xiaoman Wu, Jing Zhang +4
Multiple instance learning (MIL) has become the leading approach for extracting discriminative features from whole slide images (WSIs) in computational pathology. Attention-based M…
cs.CV2025
SSCM: A Spatial-Semantic Consistent Model for Multi-Contrast MRI Super-Resolution
Xiaoman Wu, Lubin Gan, Siying Wu +3
Multi-contrast Magnetic Resonance Imaging super-resolution (MC-MRI SR) aims to enhance low-resolution (LR) contrasts leveraging high-resolution (HR) references, shortening acquisit…
cs.CV2025
Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment
Lubin Gan, Jing Zhang, Linhao Qu +3
The fine-grained classification of brain tumor subtypes from histopathological whole slide images is highly challenging due to subtle morphological variations and the scarcity of a…