Intelligent contour extraction approach for accurate segmentation of medical ultrasound images.

Peng, Tao; Wu, Yiyun; Gu, Yidong; Xu, Daqiang; Wang, Caishan; Li, Quan; Cai, Jing

Peng, Tao; Wu, Yiyun; Gu, Yidong; Xu, Daqiang; Wang, Caishan; Li, Quan; Cai, Jing.

Afiliação

Peng T; School of Future Science and Engineering, Soochow University, Suzhou, China.
Wu Y; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Gu Y; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Xu D; Department of Ultrasound, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, China.
Wang C; Department of Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China.
Li Q; Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China.
Cai J; Department of Ultrasound, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Front Physiol ; 14: 1177351, 2023.

Article em En | MEDLINE | ID: mdl-37675280

Palavras-chave

adaptive selection principal curve; explicable mathematical formula; medical image segmentation; quantum evolution neural network; ultrasound image

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: Front Physiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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