SELDNet: Sequenced encoder and lightweight decoder network for COVID-19 infection region segmentation. | Displays;77: 102395, 2023 Apr. | MEDLINE

Main content 1 Search 2 Footer 3

+A A -A High contrast

VHL Regional Portal

Information and Knowledge for Health

Advanced Search EVID@Easy

SELDNet: Sequenced encoder and lightweight decoder network for COVID-19 infection region segmentation.

Fan, Xiaole; Feng, Xiufang.

Affiliation

Fan X; College of Software, Taiyuan University of Technology, Taiyuan 030024, China.
Feng X; College of Software, Taiyuan University of Technology, Taiyuan 030024, China.

Displays ; 77: 102395, 2023 Apr.

Article in En | MEDLINE | ID: mdl-36818573

Key words

COVID-19; Lightweight decoder; Segmentation; Sequenced encoder; Transformer

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Displays Year: 2023 Document type: Article Affiliation country: Country of publication:

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Displays Year: 2023 Document type: Article Affiliation country: Country of publication: