Your browser doesn't support javascript.
loading
Development of deep learning algorithms to discriminate giant cell tumors of bone from adjacent normal tissues by confocal Raman spectroscopy.
Lau, Carol P Y; Ma, Wenao; Law, Kwan Yau; Lacambra, Maribel D; Wong, Kwok Chuen; Lee, Chien Wei; Lee, Oscar K; Dou, Qi; Kumta, Shekhar M.
Afiliação
  • Lau CPY; Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Hong Kong.
  • Ma W; School of Science and Technology, Hong Kong Metropolitan University, Hong Kong.
  • Law KY; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. qidou@cuhk.edu.hk.
  • Lacambra MD; The Hong Kong Institute of Biotechnology Limited, Hong Kong.
  • Wong KC; Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong.
  • Lee CW; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong. kumta@cuhk.edu.hk.
  • Lee OK; Institute for Tissue Engineering and Regenerative Medicine, The Chinese University of Hong Kong, Hong Kong.
  • Dou Q; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong. kumta@cuhk.edu.hk.
  • Kumta SM; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. qidou@cuhk.edu.hk.
Analyst ; 147(7): 1425-1439, 2022 Mar 28.
Article em En | MEDLINE | ID: mdl-35253812
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Tumores de Células Gigantes Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Analyst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hong Kong
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Tumores de Células Gigantes Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Analyst Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hong Kong