Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT

Due to low contrast and the blurred boundary between liver tissue and neighboring organs sharing similar intensity values, the problem of liver segmentation from CT images has not yet achieved satisfactory performance and remains a challenge. To alleviate these problems, we introduce deep supervisio...

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Detalles Bibliográficos
Autores principales: Lv, Peiqing, Wang, Jinke, Zhang, Xiangyang, Shi, Changfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550798/
https://www.ncbi.nlm.nih.gov/pubmed/36216965
http://dx.doi.org/10.1038/s41598-022-21562-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550798/
https://www.ncbi.nlm.nih.gov/pubmed/36216965
http://dx.doi.org/10.1038/s41598-022-21562-0

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