[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.

Affiliation

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 de Zh | MEDLINE | ID: mdl-34905891

Sujet(s)

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Oto-rhino-laryngologie / Apprentissage profond Type d'étude: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: Zh Journal: Zhonghua Yi Xue Za Zhi Année: 2021 Type de document: Article Pays d'affiliation: Chine Pays de publication: Chine

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google