Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.

AlZoubi, Alaa; Lu, Feng; Zhu, Yicheng; Ying, Tao; Ahmed, Mohmmed; Du, Hongbo

AlZoubi, Alaa; Lu, Feng; Zhu, Yicheng; Ying, Tao; Ahmed, Mohmmed; Du, Hongbo.

Afiliação

AlZoubi A; School of Computing and Engineering, University of Derby, Derby, DE22 3AW, UK. a.alzoubi@derby.ac.uk.
Lu F; Department of Ultrasound, Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhu Y; Department of Ultrasound, Pudong New Area People's Hospital affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, 201200, China.
Ying T; Department of Ultrasound, Sixth People's Hospital, Shanghai, China.
Ahmed M; School of Computing, The University of Buckingham, Buckingham, MK18 1EG, UK.
Du H; School of Computing, The University of Buckingham, Buckingham, MK18 1EG, UK.

Med Biol Eng Comput ; 62(1): 135-149, 2024 Jan.

Article em En | MEDLINE | ID: mdl-37735296

Assuntos

Aprendizado de Máquina; Redes Neurais de Computação; Estudos Retrospectivos; Teorema de Bayes

Palavras-chave

Automatic architecture design; Bayesian optimization; Breast cancer; Cancer recognition; Deep convolutional neural network; Transfer learning; Ultrasonography

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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