DP-UNet:Dual Branch Attention Multi-Layer Encoder and Progressive Fused Pyramid Pooling Network for Covid-19 Infection Region Segmentation-Reference-Cited by-同舟云学术

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DP-UNet:Dual Branch Attention Multi-Layer Encoder and Progressive Fused Pyramid Pooling Network for Covid-19 Infection Region Segmentation

Published:2023 Issue: Volume: Page:
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Author:

Mao Qi,Wang Wenfeng,Tian Yi,Wang Jintao,Xiang Zhenwu,Zhang Yan

Publisher

Elsevier BV

Reference36 articles.

1. Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19 [J];F Shi;IEEE reviews in biomedical engineering,2020

2. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention;Z Wu;Jama,2020

3. Experiences with COVID-19 case investigation and contact tracing: A qualitative analysis;N Deluca;SSM-Qualitative Research in Health,2023

4. COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold;Y Rao;Biomedical signal processing and control,2023

5. A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia;C Scapicchio;European Radiology Experimental,2023

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