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Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net

Automatic computerized segmentation of fetal head from ultrasound images and head circumference (HC) biometric measurement is still challenging, due to the inherent characteristics of fetal ultrasound images at different semesters of pregnancy. In this paper, we proposed a new deep learning method f...

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Detalhes bibliográficos
Publicado no:J Digit Imaging
Principais autores: Zeng, Yan, Tsui, Po-Hsiang, Wu, Weiwei, Zhou, Zhuhuang, Wu, Shuicai
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7887128/
https://ncbi.nlm.nih.gov/pubmed/33483862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-020-00410-5
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