113 citations · 123 across the 22 of their papers we have counts for
4 papers · 1 filter
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model
Liangrui Pan, Dazheng Liu, Zhichao Feng +2
Due to the high heterogeneity and clinical characteristics of cancer, there are significant differences in multi-omic data and clinical characteristics among different cancer subty…
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images
Liangrui Pan, Lian Wang, Zhichao Feng +2
Histopathology image segmentation is the gold standard for diagnosing cancer, and can indicate cancer prognosis. However, histopathology image segmentation requires high-quality ma…
LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images
Liangrui Pan, Yutao Dou, Zhichao Feng +2
Histopathological images are the gold standard for diagnosing liver cancer. However, the accuracy of fully digital diagnosis in computational pathology needs to be improved. In thi…
DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
Liangrui Pan, Xiang Wang, Qingchun Liang +4
Background and Objective: Given the high heterogeneity and clinical diversity of cancer, substantial variations exist in multi-omics data and clinical features across different can…