A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images.

Yu, Fuli; Zhu, Yu; Qin, Xiangxiang; Xin, Ying; Yang, Dawei; Xu, Tao.

Afiliação

Yu F; School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 People's Republic of China.
Zhu Y; School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 People's Republic of China.
Qin X; School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 People's Republic of China.
Xin Y; Department of Endocrine and Metabolic Diseases The Affiliated Hospital of Qingdao University Qingdao 266003 People's Republic of China.
Yang D; Department of Pulmonary Medicine Zhongshan Hospital Fudan University Shanghai 200032 People's Republic of China.
Xu T; Department of Pulmonary and Critical Care Medicine The Affiliated Hospital of Qingdao University Qingdao Shandong 266000 People's Republic of China.

IET Image Process ; 15(11): 2604-2613, 2021 Sep.

Article em En | MEDLINE | ID: mdl-34226836

Palavras-chave

Biology and medical computing; Computer vision and image processing techniques; Image recognition; Optical, image and video signal processing; Patient diagnostic methods and instrumentation; Xray techniques: radiography and computed tomography (biomedical imaging/measurement); Xrays and particle beams (medical uses)

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article