RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans

Automatic extraction of liver and tumor from CT volumes is a challenging task due to their heterogeneous and diffusive shapes. Recently, 2D deep convolutional neural networks have become popular in medical image segmentation tasks because of the utilization of large labeled datasets to learn hierarc...

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Detalles Bibliográficos
Autores principales: Jin, Qiangguo, Meng, Zhaopeng, Sun, Changming, Cui, Hui, Su, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785874/
https://www.ncbi.nlm.nih.gov/pubmed/33425871
http://dx.doi.org/10.3389/fbioe.2020.605132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785874/
https://www.ncbi.nlm.nih.gov/pubmed/33425871
http://dx.doi.org/10.3389/fbioe.2020.605132

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