2 papers
eess.IV2025
Graph-Based Multi-Modal Light-weight Network for Adaptive Brain Tumor Segmentation
Guohao Huo, Ruiting Dai, Zitong Wang +2
Multi-modal brain tumor segmentation remains challenging for practical deployment due to the high computational costs of mainstream models. In this work, we propose GMLN-BTS, a Gra…
eess.IV2024
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
Zhan Shi, Jingwei Zhang, Jun Kong +1
In digital pathology, the multiple instance learning (MIL) strategy is widely used in the weakly supervised histopathology whole slide image (WSI) classification task where giga-pi…