Your browser doesn't support javascript.
loading
CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images.
Lee, Jaeung; Han, Chiwon; Kim, Kyungeun; Park, Gi-Ho; Kwak, Jin Tae.
Afiliação
  • Lee J; School of Electrical Engineering, Korea University, Seoul, Republic of Korea.
  • Han C; Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea.
  • Kim K; Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Park GH; Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea.
  • Kwak JT; School of Electrical Engineering, Korea University, Seoul, Republic of Korea. Electronic address: jkwak@korea.ac.kr.
Comput Methods Programs Biomed ; 241: 107749, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37579551
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2023 Tipo de documento: Article