Sep 9, 2022 · At the current stage, automatically segmenting the lung infection area from CT images is essential for the diagnosis and treatment of COVID-19.

Sep 7, 2022 · 1) We propose an end-to-end boundary guided semantic learning method for accurate and real-time COVID-. 19 lung infection segmentation, which ...

Sep 7, 2022 · At the current stage, automatically segmenting the lung infection area from CT images is essential for the diagnosis and treatment of COVID-19.

Oct 24, 2022 · 1) We propose an end-to-end boundary guided semantic learning method for accurate and real-time COVID-19 lung infection segmentation, which can ...

For example, Cong et al. 6 introduced a boundary-guided semantic learning approach targeting real-time segmentation of COVID-19 lung infections. By amalgamating ...

Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System. Research output: Journal Publications and Reviews › RGC 21 ...

Boundary Guided Semantic Learning for Real-Time COVID-19 Lung Infection Segmentation System ; Volume: 68 ; Issue: 4 ; Pages: 376-386 ; DOI: 10.1109/TCE.2022.3205376.

Jan 12, 2024 · The irregular and fuzzy boundaries of COVID-19 infection ... Boundary guided semantic learning for real-time COVID-19 lung infection segmentation ...

Sep 9, 2022 · Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation System ... learning solutions for lung infection segmentation ...

May 6, 2024 · Sam Kwong : Boundary Guided Semantic Learning for Real-Time COVID-19 Lung Infection Segmentation System. IEEE Trans. Consumer Electron. 68(4) ...