4 papers
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
Tong Shu, Jun Shi, Dongdong Sun +2
Existing WSI analysis methods lie on the consensus that histopathological characteristics of tumors are significant guidance for cancer diagnostics. Particularly, as the evolution…
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
Xinyu Zhu, Zhiguo Jiang, Kun Wu +2
Content-based histopathological image retrieval (CBHIR) has gained attention in recent years, offering the capability to return histopathology images that are content-wise similar…
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification
Yushan Zheng, Jun Li, Jun Shi +2
Transformer has been widely used in histopathology whole slide image (WSI) classification for the purpose of tumor grading, prognosis analysis, etc. However, the design of token-wi…
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis
Jun Li, Yushan Zheng, Kun Wu +3
Local representation learning has been a key challenge to promote the performance of the histopathological whole slide images analysis. The previous representation learning methods…