Search Results for author: Boxiang Yun

Found 4 papers, 2 papers with code

RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning

1 code implementation6 Sep 2024 Yunhao Bai, Boxiang Yun, Zeli Chen, Qinji Yu, Yingda Xia, Yan Wang

Specifically, to segment a 3D query volume using a limited number of support image-label pairs that define a new segmentation task, we propose reverse propagation strategy as a query information selection mechanism.

Image Segmentation Medical Image Segmentation +2

Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype

no code implementations19 Aug 2024 Yadong Lu, Shitian Zhao, Boxiang Yun, Dongsheng Jiang, Yin Li, Qingli Li, Yan Wang

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 image and (2) use only the category set corresponding to the Task-ID, while preserving the knowledge related to each domain, cannot address the two primary challenges of ODCL: forgetting old knowledge and maintaining zero-shot capabilities, as well as the confusions caused by category-relatedness between domains.

Continual Learning

Prompting Whole Slide Image Based Genetic Biomarker Prediction

no code implementations26 Jun 2024 Ling Zhang, Boxiang Yun, Xingran Xie, Qingli Li, Xinxing Li, Yan Wang

Experimental results on two colorectal cancer datasets show the superiority of our method, achieving 91. 49% in AUC for MSI classification.

Decision Making

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

1 code implementation5 Mar 2021 Boxiang Yun, Yan Wang, Jieneng Chen, Huiyu Wang, Wei Shen, Qingli Li

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety of applications relied on high-precision pathology image segmentation, such as computational pathology and precision medicine.

Image Segmentation Segmentation +1

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