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Ultrasound radiomics models based on multimodal imaging feature fusion of papillary thyroid carcinoma for predicting central lymph node metastasis.
Dai, Quan; Tao, Yi; Liu, Dongmei; Zhao, Chen; Sui, Dong; Xu, Jinshun; Shi, Tiefeng; Leng, Xiaoping; Lu, Man.
Afiliação
  • Dai Q; Department of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Medicine & Laboratory of Translational Research in Ultrasound Theranostic
  • Tao Y; Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, China.
  • Liu D; Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Zhao C; Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Sui D; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
  • Xu J; School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China.
  • Shi T; Department of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Medicine & Laboratory of Translational Research in Ultrasound Theranostic
  • Leng X; Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Lu M; Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Front Oncol ; 13: 1261080, 2023.
Article em En | MEDLINE | ID: mdl-38023240
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article