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Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma.
Nam, Ju Gang; Park, Samina; Park, Chang Min; Jeon, Yoon Kyung; Chung, Doo Hyun; Goo, Jin Mo; Kim, Young Tae; Kim, Hyungjin.
Affiliation
  • Nam JG; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
  • Park S; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
  • Park CM; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
  • Jeon YK; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
  • Chung DH; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
  • Goo JM; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
  • Kim YT; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
  • Kim H; From the Department of Radiology (J.G.N., C.M.P., J.M.G., H.K.), Department of Thoracic and Cardiovascular Surgery (S.P., Y.T.K.), and Department of Pathology (Y.K.J., D.H.C.), Seoul National University Hospital and College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea; Artif
Radiology ; 305(2): 441-451, 2022 11.
Article in En | MEDLINE | ID: mdl-35787198

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma / Adenocarcinoma of Lung / Deep Learning / Lung Neoplasms Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Radiology Year: 2022 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma / Adenocarcinoma of Lung / Deep Learning / Lung Neoplasms Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Radiology Year: 2022 Type: Article