ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series.

Zhao, Wei; Sun, Yingli; Kuang, Kaiming; Yang, Jiancheng; Li, Ge; Ni, Bingbing; Jiang, Yingjia; Jiang, Bo; Liu, Jun; Li, Ming

Zhao, Wei; Sun, Yingli; Kuang, Kaiming; Yang, Jiancheng; Li, Ge; Ni, Bingbing; Jiang, Yingjia; Jiang, Bo; Liu, Jun; Li, Ming.

Afiliação

Zhao W; Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Sun Y; Department of Radiology, Huadong Hospital, Fudan University, Shanghai 200040, China.
Kuang K; Dianei Technology, Shanghai 200051, China.
Yang J; Dianei Technology, Shanghai 200051, China.
Li G; Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Ni B; Department of Radiology, The Xiangya Hospital, Central South University, Changsha 410008, China.
Jiang Y; Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Jiang B; Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Liu J; Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Li M; Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha 410011, China.

Cancers (Basel) ; 14(15)2022 Jul 28.

Article em En | MEDLINE | ID: mdl-35954342

Palavras-chave

X-ray computed tomography; adenocarcinoma; deep learning; invasiveness; temporal attention

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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