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Artificial intelligence-assisted three-dimensional imaging of breast microinvasive carcinoma reveals larger invasive focus size in a substantial proportion of cases.

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Bibliographic Details
Title: Artificial intelligence-assisted three-dimensional imaging of breast microinvasive carcinoma reveals larger invasive focus size in a substantial proportion of cases.
Authors: Chien Y; Department of Pathology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan., Liang CW; Department of Pathology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan; School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan., Hsu CY; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan., Lin YC; Digital Medicine Center of the Translational Health Research Institute, Vilnius University, Vilnius, Lithuania; Institute of Research, Development and Innovation, IMU University, Kuala Lumpur, Malaysia., Lin YY; Department of Pathology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan; School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan. Electronic address: b91401116@ntu.edu.tw.
Source: Pathology, research and practice [Pathol Res Pract] 2026 Jul; Vol. 283, pp. 156388. Date of Electronic Publication: 2026 Mar 27.
Publication Type: Journal Article
Journal Info: Publisher: Gustav Fischer Verlag Country of Publication: Germany NLM ID: 7806109 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1618-0631 (Electronic) Linking ISSN: 03440338 NLM ISO Abbreviation: Pathol Res Pract Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1618-0631
DOI:10.1016/j.prp.2026.156388