Boundary Restored Network for Subpleural Pulmonary Lesion Segmentation on Ultrasound Images at Local and Global Scales

To evaluate the application of machine learning for the detection of subpleural pulmonary lesions (SPLs) in ultrasound (US) scans, we propose a novel boundary-restored network (BRN) for automated SPL segmentation to avoid issues associated with manual SPL segmentation (subjectivity, manual segmentat...

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Bibliografiske detaljer
Udgivet i:	J Digit Imaging
Main Authors:	Xu, Yupeng, Zhang, Yi, Bi, Ke, Ning, Zhiyu, Xu, Lisha, Shen, Mengjun, Deng, Guoying, Wang, Yin
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer International Publishing 2020
Fag:	Article
Online adgang:	https://ncbi.nlm.nih.gov/pmc/articles/PMC7573030/ https://ncbi.nlm.nih.gov/pubmed/32556913 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-020-00356-8
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Boundary Restored Network for Subpleural Pulmonary Lesion Segmentation on Ultrasound Images at Local and Global Scales

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