[Prediction of Pathological Subtypes of Lung Adenocarcinoma with Pure Ground Glass Nodules by Deep Learning Model].

Tao, Xue-Min; Fang, Rui; Wu, Chong-Chong; Zhang, Chi; Zhang, Rong-Guo; Yu, Peng-Xin; Zhao, Shao-Hong

Tao, Xue-Min; Fang, Rui; Wu, Chong-Chong; Zhang, Chi; Zhang, Rong-Guo; Yu, Peng-Xin; Zhao, Shao-Hong.

Affiliation

Tao XM; Medical School of Chinese PLA,Beijing 100853,China.
Fang R; Department of Radiology,the First Medical Center,Chinese PLA General Hospital,Beijing 100853,China.
Wu CC; Department of Radiology,the First Medical Center,Chinese PLA General Hospital,Beijing 100853,China.
Zhang C; Department of Radiology,the First Medical Center,Chinese PLA General Hospital,Beijing 100853,China.
Zhang RG; Institute of Advanced Research,Infervision,Beijing 100025,China.
Yu PX; Institute of Advanced Research,Infervision,Beijing 100025,China.
Zhao SH; Institute of Advanced Research,Infervision,Beijing 100025,China.

Zhongguo Yi Xue Ke Xue Yuan Xue Bao ; 42(4): 477-484, 2020 Aug 30.

Article de Zh | MEDLINE | ID: mdl-32895099

Sujet(s)
Mots clés

artificial intelligence; convolutional neural network; deep learning; lung adenocarcinoma; tomography,X ray computed

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Adénocarcinome pulmonaire / Tumeurs du poumon Type d'étude: Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Humans Langue: Zh Journal: Zhongguo Yi Xue Ke Xue Yuan Xue Bao Année: 2020 Type de document: Article Pays d'affiliation: Chine Pays de publication: Chine

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