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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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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
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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Chien+Y%22">Chien Y</searchLink>; Department of Pathology, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liang+CW%22">Liang CW</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Hsu+CY%22">Hsu CY</searchLink>; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+YC%22">Lin YC</searchLink>; Digital Medicine Center of the Translational Health Research Institute, Vilnius University, Vilnius, Lithuania; Institute of Research, Development and Innovation, IMU University, Kuala Lumpur, Malaysia.<br /><searchLink fieldCode="AU" term="%22Lin+YY%22">Lin YY</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%227806109%22">Pathology, research and practice</searchLink> [Pathol Res Pract] 2026 Jul; Vol. 283, pp. 156388. <i>Date of Electronic Publication: </i>2026 Mar 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Gustav+Fischer+Verlag%22">Gustav Fischer Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>7806109 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1618-0631 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203440338%22">03440338 </searchLink><i>NLM ISO Abbreviation: </i>Pathol Res Pract <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.prp.2026.156388
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      – Code: eng
        Text: English
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      – TitleFull: 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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            NameFull: Chien Y
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            NameFull: Liang CW
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            NameFull: Hsu CY
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            NameFull: Lin YC
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            – D: 01
              M: 07
              Text: 2026 Jul
              Type: published
              Y: 2026
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              Value: 283
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            – TitleFull: Pathology, research and practice
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