2D medical image segmentation via learning multi-scale contextual dependencies.

Pang, Shuchao; Du, Anan; Yu, Zhenmei; Orgun, Mehmet A

Pang, Shuchao; Du, Anan; Yu, Zhenmei; Orgun, Mehmet A.

Afiliação

Pang S; Department of Computing, Macquarie University, North Ryde, NSW 2109, Australia. Electronic address: shuchao.pang@hdr.mq.edu.au.
Du A; School of Electrical and Data Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: anan.du@student.uts.edu.au.
Yu Z; School of Data and Computer Science, Shandong Women's University, Jinan 250014, China. Electronic address: zhenmei_yu@sdwu.edu.cn.
Orgun MA; Department of Computing, Macquarie University, North Ryde, NSW 2109, Australia; Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa 999078, Macau. Electronic address: mehmet.orgun@mq.edu.au.

Methods ; 202: 40-53, 2022 06.

Article em En | MEDLINE | ID: mdl-34029714

Assuntos

COVID-19; Neoplasias Hepáticas; Algoritmos; COVID-19/diagnóstico por imagem; Humanos; Processamento de Imagem Assistida por Computador/métodos; Redes Neurais de Computação

Palavras-chave

COVID-19 lung infection; Contextual dependency; Hepatic tumors; Medical image segmentation; Retinal vessel; Visualization

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 / Neoplasias Hepáticas Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Methods Assunto da revista: BIOQUIMICA Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google