[Analysis of the performance of a multi-view fusion and active contour constraint based deep learning algorithm for ossicles segmentation on 10 µm otology CT].

Zhu, Z Y; Li, X G; Wang, R X; Tang, R W; Zhao, L; Yin, G X; Wang, Z C; Zhuo, L

Zhu, Z Y; Li, X G; Wang, R X; Tang, R W; Zhao, L; Yin, G X; Wang, Z C; Zhuo, L.

Afiliación

Zhu ZY; Department of information, Beijing University of Technology, Beijing 100124, China.
Li XG; Department of information, Beijing University of Technology, Beijing 100124, China.
Wang RX; Department of information, Beijing University of Technology, Beijing 100124, China.
Tang RW; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Zhao L; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Yin GX; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Wang ZC; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Zhuo L; Department of information, Beijing University of Technology, Beijing 100124, China.

Zhonghua Yi Xue Za Zhi ; 101(47): 3897-3903, 2021 Dec 21.

Article en Zh | MEDLINE | ID: mdl-34905891

Asunto(s)

Aprendizaje Profundo; Otolaringología; Algoritmos; Estudios Transversales; Humanos; Estudios Retrospectivos; Tomografía Computarizada por Rayos X

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Otolaringología / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Año: 2021 Tipo del documento: Article País de afiliación: China

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