Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images.

Hua, Rui; Huo, Quan; Gao, Yaozong; Sui, He; Zhang, Bing; Sun, Yu; Mo, Zhanhao; Shi, Feng

Hua, Rui; Huo, Quan; Gao, Yaozong; Sui, He; Zhang, Bing; Sun, Yu; Mo, Zhanhao; Shi, Feng.

Afiliación

Hua R; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Huo Q; Shanghai United Imaging Intelligence, Co., Ltd., Shanghai, China.
Gao Y; Shanghai United Imaging Intelligence, Co., Ltd., Shanghai, China.
Sui H; Shanghai United Imaging Intelligence, Co., Ltd., Shanghai, China.
Zhang B; China-Japan Union Hospital of Jilin University, Changchun, China.
Sun Y; Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China.
Mo Z; School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Shi F; China-Japan Union Hospital of Jilin University, Changchun, China.

Front Comput Neurosci ; 14: 9, 2020.

Article en En | MEDLINE | ID: mdl-32116623

Palabras clave

V-Net; brain tumor; deep learning; magnetic resonance imaging; multimodal; segmentation

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Comput Neurosci Año: 2020 Tipo del documento: Article País de afiliación: China

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