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Machine Learning Based Prediction of Squamous Cell Carcinoma in Ex Vivo Confocal Laser Scanning Microscopy.

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第一作者： Cristel,Ruini

第一单位： Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.;PhD School in Clinical and Experimental Medicine, University of Modena and Reggio Emilia, 41125 Modena, Italy.

作者： Cristel,Ruini ^[1] ; Sophia,Schlingmann ^[2] ; Žan,Jonke ^[3] ; Pinar,Avci ^[2] ; Víctor,Padrón-Laso ^[3] ; Florian,Neumeier ^[4] ; Istvan,Koveshazi ^[4] ; Ikenna U,Ikeliani ^[4] ; Kathrin,Patzer ^[2] ; Elena,Kunrad ^[2] ; Benjamin,Kendziora ^[2] ; Elke,Sattler ^[2] ; Lars E,French ^[5] ; Daniela,Hartmann ^[2]

作者单位： Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.;PhD School in Clinical and Experimental Medicine, University of Modena and Reggio Emilia, 41125 Modena, Italy. ^[1] Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany. ^[2] Munich Innovation Labs GmbH, 80336 Munich, Germany. ^[3] M3i Industry-in-Clinic-Platform GmbH, 80336 Munich, Germany. ^[4] Department of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.;Dr. Phillip Frost Department of Dermatology & Cutaneous Surgery, Miller School of Medicine, University of Miami, Miami, FL 33136, USA. ^[5]

关键词 Mohs surgery convolutional networks digital pathology digital staining ex vivo confocal laser scanning microscopy fluorescence confocal microscopy machine learning neural networks reflectance confocal microscopy squamous cell carcinoma

DOI 10.3390/cancers13215522

PMID 34771684

发布时间 2021-11-18

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