Integration- and separation-aware adversarial model for cerebrovascular segmentation from TOF-MRA.

Chen, Cheng; Zhou, Kangneng; Lu, Tong; Ning, Huansheng; Xiao, Ruoxiu

Chen, Cheng; Zhou, Kangneng; Lu, Tong; Ning, Huansheng; Xiao, Ruoxiu.

Afiliación

Chen C; School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Zhou K; School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Lu T; Visual 3D Medical Science and Technology Development, Co. Ltd, Beijing 100082, China.
Ning H; School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Xiao R; School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China; Shunde Innovation School, University of Science and Technology Beijing, Foshan 100024, China. Electronic address: xiaoruoxiu@ustb.edu.cn.

Comput Methods Programs Biomed ; 233: 107475, 2023 May.

Article en En | MEDLINE | ID: mdl-36931018

Asunto(s)

Algoritmos; Angiografía por Resonancia Magnética; Angiografía por Resonancia Magnética/métodos; Imagen por Resonancia Magnética; Simulación por Computador; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

Adversarial model; Cerebrovascular segmentation; Deep learning; TOF-MRA

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Angiografía por Resonancia Magnética Tipo de estudio: Prognostic_studies Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Irlanda

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google