Deep learning approach for accurate prostate cancer identification and stratification using combined immunostaining of cytokeratin, p63, and racemase.

Salvi, Massimo; Manini, Claudia; López, Jose I; Fenoglio, Dario; Molinari, Filippo

Salvi, Massimo; Manini, Claudia; López, Jose I; Fenoglio, Dario; Molinari, Filippo.

Afiliación

Salvi M; Biolab, PoliToBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy. Electronic address: massimo.salvi@polito.it.
Manini C; Department of Pathology, San Giovanni Bosco Hospital, 10154 Turin, Italy; Department of Sciences of Public Health and Pediatrics, University of Turin, 10124 Turin, Italy.
López JI; Biomarkers in Cancer Group, Biocruces-Bizkaia Health Research Institute, 48903 Barakaldo, Spain.
Fenoglio D; Biolab, PoliToBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Molinari F; Biolab, PoliToBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.

Comput Med Imaging Graph ; 109: 102288, 2023 10.

Article en En | MEDLINE | ID: mdl-37633031

Asunto(s)

Aprendizaje Profundo; Neoplasias de la Próstata; Masculino; Humanos; Queratinas; Racemasas y Epimerasas; Neoplasias de la Próstata/patología; Próstata/patología

Palabras clave

Automated systems; Deep Learning; Digital Pathology; Prostate cancer; Supervised learning; Whole-Slide image

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans / Male Idioma: En Revista: Comput Med Imaging Graph Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article

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