Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery.

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Title: Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery.
Authors: Tan E; Western Skin Institute, Melbourne, Australia.; Skintel, Auckland, New Zealand.; Alfred Health, Melbourne, Australia., Lim S; Alfred Health, Melbourne, Australia., Lamont D; Department of Pathology, Waikato Hospital, Hamilton, New Zealand., Epstein R; School of Medicine, University of New South Wales, Sydney, Australia., Lim D; Skintel, Auckland, New Zealand., Lin FPY; School of Medicine, University of New South Wales, Sydney, Australia.; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, Australia.; NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.
Source: JAAD international [JAAD Int] 2023 Nov 07; Vol. 14, pp. 39-47. Date of Electronic Publication: 2023 Nov 07 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101774762 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3287 (Electronic) Linking ISSN: 26663287 NLM ISO Abbreviation: JAAD Int Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery.
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  Data: <searchLink fieldCode="AU" term="%22Tan+E%22">Tan E</searchLink>; Western Skin Institute, Melbourne, Australia.; Skintel, Auckland, New Zealand.; Alfred Health, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Lim+S%22">Lim S</searchLink>; Alfred Health, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Lamont+D%22">Lamont D</searchLink>; Department of Pathology, Waikato Hospital, Hamilton, New Zealand.<br /><searchLink fieldCode="AU" term="%22Epstein+R%22">Epstein R</searchLink>; School of Medicine, University of New South Wales, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Lim+D%22">Lim D</searchLink>; Skintel, Auckland, New Zealand.<br /><searchLink fieldCode="AU" term="%22Lin+FPY%22">Lin FPY</searchLink>; School of Medicine, University of New South Wales, Sydney, Australia.; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, Australia.; NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101774762%22">JAAD international</searchLink> [JAAD Int] 2023 Nov 07; Vol. 14, pp. 39-47. <i>Date of Electronic Publication: </i>2023 Nov 07 (<i>Print Publication: </i>2024).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101774762 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2666-3287 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226663287%22">26663287 </searchLink><i>NLM ISO Abbreviation: </i>JAAD Int <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.jdin.2023.10.007
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      – Code: eng
        Text: English
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      – TitleFull: Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery.
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            – D: 07
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              Text: 2023 Nov 07
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