A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions.

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Title: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions.
Authors: Fu F; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Zhang X; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China., Wang Z; Department of Statistics and Data Science, Washington University in St. Louis, St. Louis, MO, United States., Xie L; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China., Fu M; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Peng J; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Wu J; State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China., Wang Z; State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China., Guan T; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., He Y; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Lin JS; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Zhu L; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Dai W; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China.
Source: Frontiers in pharmacology [Front Pharmacol] 2025 Jun 06; Vol. 16, pp. 1592950. Date of Electronic Publication: 2025 Jun 06 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media] Country of Publication: Switzerland NLM ID: 101548923 Publication Model: eCollection Cited Medium: Print ISSN: 1663-9812 (Print) Linking ISSN: 16639812 NLM ISO Abbreviation: Front Pharmacol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1663-9812
DOI:10.3389/fphar.2025.1592950