Your browser doesn't support javascript.
loading
Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT.
Lin, Chia-Ying; Guo, Shu-Mei; Lien, Jenn-Jier James; Lin, Wen-Tsen; Liu, Yi-Sheng; Lai, Chao-Han; Hsu, I-Lin; Chang, Chao-Chun; Tseng, Yau-Lin.
Afiliação
  • Lin CY; Department of Medical Imaging, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Guo SM; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Lien JJ; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Lin WT; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Liu YS; Department of Medical Imaging, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Lai CH; Department of Surgery, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Hsu IL; Department of Surgery, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan City, Taiwan, R.O.C.
  • Chang CC; Division of Thoracic Surgery, Department of Surgery, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan, R.O.C.. i5493149@gmail.com.
  • Tseng YL; Division of Thoracic Surgery, Department of Surgery, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, No.1, University Road, Tainan City, 701, Taiwan, R.O.C.
Radiol Med ; 129(1): 56-69, 2024 Jan.
Article em En | MEDLINE | ID: mdl-37971691

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Limite: Humans Idioma: En Revista: Radiol Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Limite: Humans Idioma: En Revista: Radiol Med Ano de publicação: 2024 Tipo de documento: Article