White matter injury detection based on preterm infant cranial ultrasound images.

Zhu, Juncheng; Yao, Shifa; Yao, Zhao; Yu, Jinhua; Qian, Zhaoxia; Chen, Ping

Zhu, Juncheng; Yao, Shifa; Yao, Zhao; Yu, Jinhua; Qian, Zhaoxia; Chen, Ping.

Afiliação

Zhu J; School of Information Science and Technology, Fudan University, Shanghai, China.
Yao S; Ultrasound Department, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai JiaoTong University, Shanghai, China.
Yao Z; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
Yu J; School of Information Science and Technology, Fudan University, Shanghai, China.
Qian Z; School of Information Science and Technology, Fudan University, Shanghai, China.
Chen P; Radiology Department, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai JiaoTong University, Shanghai, China.

Front Pediatr ; 11: 1144952, 2023.

Article em En | MEDLINE | ID: mdl-37152321

Palavras-chave

MTDL-Net; SDL-Net; cranial ultrasound image; multi-task learning; ultrasound radiomics diagnostic system; white matter injury

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Front Pediatr Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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