MDU-Net: A Convolutional Network for Clavicle and Rib Segmentation from a Chest Radiograph

Automatic bone segmentation from a chest radiograph is an important and challenging task in medical image analysis. However, a chest radiograph contains numerous artifacts and tissue shadows, such as trachea, blood vessels, and lung veins, which limit the accuracy of traditional segmentation methods...

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Detalles Bibliográficos
Autores principales: Wang, Wenjing, Feng, Hongwei, Bu, Qirong, Cui, Lei, Xie, Yilin, Zhang, Aoqi, Feng, Jun, Zhu, Zhaohui, Chen, Zhongyuanlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382745/
https://www.ncbi.nlm.nih.gov/pubmed/32724504
http://dx.doi.org/10.1155/2020/2785464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382745/
https://www.ncbi.nlm.nih.gov/pubmed/32724504
http://dx.doi.org/10.1155/2020/2785464

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