Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI with deep learning.

Wu, Miao; Shen, Xiaoxia; Lai, Can; You, Yuqing; Zhao, Zhiyong; Wu, Dan

Wu, Miao; Shen, Xiaoxia; Lai, Can; You, Yuqing; Zhao, Zhiyong; Wu, Dan.

Afiliación

Wu M; Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hang Zhou, China.
Shen X; College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
Lai C; Department of Neonatal Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
You Y; Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhao Z; Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Wu D; Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hang Zhou, China.

Pediatr Res ; 91(5): 1168-1175, 2022 04.

Article en En | MEDLINE | ID: mdl-34091603

Asunto(s)

Aprendizaje Profundo; Kernicterus; Bilirrubina; Humanos; Recién Nacido; Kernicterus/diagnóstico por imagen; Imagen por Resonancia Magnética/métodos; Redes Neurales de la Computación

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Kernicterus Tipo de estudio: Prognostic_studies Límite: Humans / Newborn Idioma: En Revista: Pediatr Res Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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