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An artificial intelligence-powered PD-L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability.

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Title: An artificial intelligence-powered PD-L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability.
Authors: Lee KS; Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Republic of Korea., Choi E; Department of Pathology, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea., Cho SI; Lunit, Seoul, Republic of Korea., Park S; Lunit, Seoul, Republic of Korea., Ryu J; Lunit, Seoul, Republic of Korea., Puche AV; Lunit, Seoul, Republic of Korea., Ma M; Lunit, Seoul, Republic of Korea., Park J; Lunit, Seoul, Republic of Korea., Jung W; Lunit, Seoul, Republic of Korea., Ro J; Lunit, Seoul, Republic of Korea., Kim S; Lunit, Seoul, Republic of Korea., Park G; Lunit, Seoul, Republic of Korea., Song S; Lunit, Seoul, Republic of Korea., Ock CY; Lunit, Seoul, Republic of Korea., Choe G; Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Republic of Korea., Park JH; Department of Pathology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
Source: Histopathology [Histopathology] 2024 Jul; Vol. 85 (1), pp. 81-91. Date of Electronic Publication: 2024 Mar 13.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 7704136 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2559 (Electronic) Linking ISSN: 03090167 NLM ISO Abbreviation: Histopathology Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: An artificial intelligence-powered PD-L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability.
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  Data: <searchLink fieldCode="AU" term="%22Lee+KS%22">Lee KS</searchLink>; Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+E%22">Choi E</searchLink>; Department of Pathology, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+SI%22">Cho SI</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+S%22">Park S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ryu+J%22">Ryu J</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Puche+AV%22">Puche AV</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ma+M%22">Ma M</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+J%22">Park J</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+W%22">Jung W</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ro+J%22">Ro J</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+G%22">Park G</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Song+S%22">Song S</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ock+CY%22">Ock CY</searchLink>; Lunit, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choe+G%22">Choe G</searchLink>; Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+JH%22">Park JH</searchLink>; Department of Pathology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
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  Data: <searchLink fieldCode="JN" term="%227704136%22">Histopathology</searchLink> [Histopathology] 2024 Jul; Vol. 85 (1), pp. 81-91. <i>Date of Electronic Publication: </i>2024 Mar 13.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Blackwell+Scientific+Publications%22">Blackwell Scientific Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>7704136 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1365-2559 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203090167%22">03090167 </searchLink><i>NLM ISO Abbreviation: </i>Histopathology <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38477366
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      – Type: doi
        Value: 10.1111/his.15176
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      – Code: eng
        Text: English
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        StartPage: 81
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      – TitleFull: An artificial intelligence-powered PD-L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability.
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              Text: 2024 Jul
              Type: published
              Y: 2024
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