Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer.

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Bibliographic Details
Title: Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer.
Authors: Wang CW; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Liu TC; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Lai PJ; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Muzakky H; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Wang YC; Department of Gynecology and Obstetrics, Tri-Service General Hospital, Taipei, 114202, Taiwan; Department of Gynecology and Obstetrics, National Defense Medical Center, Taipei, 11490, Taiwan., Yu MH; Department of Gynecology and Obstetrics, Tri-Service General Hospital, Taipei, 114202, Taiwan; Department of Gynecology and Obstetrics, National Defense Medical Center, Taipei, 11490, Taiwan., Wu CH; Department of Pathology, Tri-Service General Hospital, Taipei, 114202, Taiwan., Chao TK; Department of Pathology, Tri-Service General Hospital, Taipei, 114202, Taiwan; Institute of Pathology and Parasitology, National Defense Medical Center, Taipei, 11490, Taiwan. Electronic address: chaotai.kuang@msa.hinet.net.
Source: Medical image analysis [Med Image Anal] 2025 Jan; Vol. 99, pp. 103372. Date of Electronic Publication: 2024 Oct 21.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2024.103372