Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin Tumors.

Lee, Hyunwoo; Lee, Yerin; Jung, Seung-Won; Lee, Solam; Oh, Byungho; Yang, Sejung

Lee, Hyunwoo; Lee, Yerin; Jung, Seung-Won; Lee, Solam; Oh, Byungho; Yang, Sejung.

Afiliação

Lee H; Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
Lee Y; Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Jung SW; Department of Dermatology, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Lee S; Department of Dermatology, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
Oh B; Department of Dermatology, Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Yang S; Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.

Sensors (Basel) ; 23(17)2023 Aug 24.

Article em En | MEDLINE | ID: mdl-37687830

Assuntos

Aprendizado Profundo; Neoplasias Cutâneas; Humanos; Ultrassonografia; Hospitais; Julgamento; Neoplasias Cutâneas/diagnóstico por imagem

Palavras-chave

benign skin tumor; class activation map; convolutional neural network; ultrasound image

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

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