1 citations · 1 across the 6 of their papers we have counts for
6 papers
Towards Reliable Stain Transfer: An Iterative Data-Model Co-Optimization Framework Based on Multimodal Expert-Guided Assessment
Siyuan Xu, Yan Wang, Haofei Song +7
Histopathological examination primarily relies on hematoxylin and eosin (H&E) and immunohistochemistry (IHC) staining. Although IHC provides critical molecular information, it is c…
Dictionary-based Pathology Mining with Hard-instance-assisted Classifier Debiasing for Genetic Biomarker Prediction from WSIs
Ling Zhang, Boxiang Yun, Ting Jin +3
Prediction of genetic biomarkers, e.g., microsatellite instability in colorectal cancer is crucial for clinical decision making. But, two primary challenges hamper accurate predict…
Historical Report Guided Bi-modal Concurrent Learning for Pathology Report Generation
Ling Zhang, Boxiang Yun, Qingli Li +1
Automated pathology report generation from Whole Slide Images (WSIs) faces two key challenges: (1) lack of semantic content in visual features and (2) inherent information redundan…
MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
Shijie Lin, Boxiang Yun, Wei Shen +3
Medical Hyperspectral Imaging (MHSI) offers potential for computational pathology and precision medicine. However, existing CNN and Transformer struggle to balance segmentation acc…
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning
Yunhao Bai, Boxiang Yun, Zeli Chen +3
The Segment Anything Model 2 (SAM2) has recently demonstrated exceptional performance in zero-shot prompt segmentation for natural images and videos. However, when the propagation…
Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype
Yadong Lu, Shitian Zhao, Boxiang Yun +4
Despite recent progress in enhancing the efficacy of Open-Domain Continual Learning (ODCL) in Vision-Language Models (VLM), failing to (1) correctly identify the Task-ID of a test…