HistoChat: Instruction-tuning multimodal vision language assistant for colorectal histopathology on limited data.

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Bibliographic Details
Title: HistoChat: Instruction-tuning multimodal vision language assistant for colorectal histopathology on limited data.
Authors: Afzaal U; Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA., Su Z; Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA., Sajjad U; Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA., Stack T; Edward Via College of Osteopathic Medicine, Blacksburg, VA, USA., Lu H; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA., Niu S; Department of Pathology, Wake Forest University School of Medicine, Winston-Salem, NC, USA., Akbar AR; Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA., Gurcan MN; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC, USA., Niazi MKK; Department of Pathology, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Source: Patterns (New York, N.Y.) [Patterns (N Y)] 2025 May 30; Vol. 6 (8), pp. 101284. Date of Electronic Publication: 2025 May 30 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101767765 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3899 (Electronic) Linking ISSN: 26663899 NLM ISO Abbreviation: Patterns (N Y) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-3899
DOI:10.1016/j.patter.2025.101284