Artificial intelligence in digital pathology of cutaneous lymphomas: A review of the current state and future perspectives.

Doeleman, Thom; Hondelink, Liesbeth M; Vermeer, Maarten H; van Dijk, Marijke R; Schrader, Anne M R

Doeleman, Thom; Hondelink, Liesbeth M; Vermeer, Maarten H; van Dijk, Marijke R; Schrader, Anne M R.

Afiliación

Doeleman T; Department of Pathology, Leiden University Medical Centre, Leiden, the Netherlands; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: t.doeleman@lumc.nl.
Hondelink LM; Department of Pathology, Leiden University Medical Centre, Leiden, the Netherlands.
Vermeer MH; Department of Dermatology, Leiden University Medical Center, Leiden, the Netherlands.
van Dijk MR; Department of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
Schrader AMR; Department of Pathology, Leiden University Medical Centre, Leiden, the Netherlands.

Semin Cancer Biol ; 94: 81-88, 2023 09.

Article en En | MEDLINE | ID: mdl-37331571

Asunto(s)

Linfoma de Células B; Linfoma; Neoplasias Cutáneas; Humanos; Inteligencia Artificial; Linfoma/diagnóstico; Neoplasias Cutáneas/terapia; Linfoma de Células B/patología; Biomarcadores

Palabras clave

Artificial intelligence; Cutaneous lymphoma; Deep learning; Lymphoma; Skin cancer

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Linfoma de Células B / Linfoma Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Semin Cancer Biol Asunto de la revista: NEOPLASIAS Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

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