Transitional zone prostate cancer: Performance of texture-based machine learning and image-based deep learning.

Lee, Myoung Seok; Kim, Young Jae; Moon, Min Hoan; Kim, Kwang Gi; Park, Jeong Hwan; Sung, Chang Kyu; Jeong, Hyeon; Son, Hwancheol

Lee, Myoung Seok; Kim, Young Jae; Moon, Min Hoan; Kim, Kwang Gi; Park, Jeong Hwan; Sung, Chang Kyu; Jeong, Hyeon; Son, Hwancheol.

Afiliação

Lee MS; Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
Kim YJ; Department of Biomedical Engineering, Gachon University College of Medicine, Gil Medical Center, Incheon, Korea.
Moon MH; Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
Kim KG; Department of Biomedical Engineering, Gachon University College of Medicine, Gil Medical Center, Incheon, Korea.
Park JH; Department of Pathology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
Sung CK; Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
Jeong H; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
Son H; Department of Urology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.

Medicine (Baltimore) ; 102(39): e35039, 2023 Sep 29.

Article em En | MEDLINE | ID: mdl-37773806

Assuntos

Aprendizado Profundo; Hiperplasia Prostática; Neoplasias da Próstata; Masculino; Humanos; Hiperplasia Prostática/diagnóstico por imagem; Estudos Retrospectivos; Neoplasias da Próstata/diagnóstico por imagem; Neoplasias da Próstata/cirurgia; Neoplasias da Próstata/patologia; Aprendizado de Máquina

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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Prostata Base de dados: MEDLINE Assunto principal: Hiperplasia Prostática / Neoplasias da Próstata / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: Medicine (Baltimore) Ano de publicação: 2023 Tipo de documento: Article

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