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Innovation in Actinic Keratosis Assessment: Artificial Intelligence-Based Approach to LC-OCT PRO Score Evaluation.
Daxenberger, Fabia; Deußing, Maximilian; Eijkenboom, Quirine; Gust, Charlotte; Thamm, Janis; Hartmann, Daniela; French, Lars E; Welzel, Julia; Schuh, Sandra; Sattler, Elke C.
Afiliação
  • Daxenberger F; Department of Dermatology and Allergy, University Hospital, Ludwig Maximilian University of Munich, 80337 Munich, Germany.
  • Deußing M; Department of Dermatology and Allergy, University Hospital, Ludwig Maximilian University of Munich, 80337 Munich, Germany.
  • Eijkenboom Q; Department of Dermatology and Allergy, University Hospital, Ludwig Maximilian University of Munich, 80337 Munich, Germany.
  • Gust C; Department of Dermatology and Allergy, University Hospital, Ludwig Maximilian University of Munich, 80337 Munich, Germany.
  • Thamm J; Department of Dermatology and Allergology, University Hospital, University of Augsburg, 86179 Augsburg, Germany.
  • Hartmann D; Department of Dermatology and Allergy, University Hospital, Ludwig Maximilian University of Munich, 80337 Munich, Germany.
  • French LE; Department of Dermatology and Allergy, University Hospital, Ludwig Maximilian University of Munich, 80337 Munich, Germany.
  • Welzel J; Department of Dermatology & Cutaneous Surgery, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
  • Schuh S; Department of Dermatology and Allergology, University Hospital, University of Augsburg, 86179 Augsburg, Germany.
  • Sattler EC; Department of Dermatology and Allergology, University Hospital, University of Augsburg, 86179 Augsburg, Germany.
Cancers (Basel) ; 15(18)2023 Sep 07.
Article em En | MEDLINE | ID: mdl-37760425
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha