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A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities.
Choi, Yoonseok; Al-Masni, Mohammed A; Jung, Kyu-Jin; Yoo, Roh-Eul; Lee, Seong-Yeong; Kim, Dong-Hyun.
Afiliação
  • Choi Y; Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul 03722, Republic of Korea.
  • Al-Masni MA; Department of Artificial Intelligence, College of Software & Convergence Technology, Daeyang AI Center, Sejong University, Seoul 05006, Republic of Korea.
  • Jung KJ; Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul 03722, Republic of Korea.
  • Yoo RE; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro Jongno-gu, Seoul 03080, Republic of Korea; Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro Jongno-gu, Seoul 03080, Republic of Korea.
  • Lee SY; Department of Radiology, Seoul National University Hospital, 101 Daehak-ro Jongno-gu, Seoul 03080, Republic of Korea.
  • Kim DH; Department of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul 03722, Republic of Korea. Electronic address: donghyunkim@yonsei.ac.kr.
Comput Methods Programs Biomed ; 240: 107644, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37307766
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Aprendizado Profundo 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: Neoplasias Encefálicas / Aprendizado Profundo Idioma: En Ano de publicação: 2023 Tipo de documento: Article