A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets

BACKGROUND: Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconventional liver shapes and intensities deduced by contrast phases...

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Detalles Bibliográficos
Autores principales: He, Baochun, Yin, Dalong, Chen, Xiaoxia, Luo, Huoling, Xiao, Deqiang, He, Mu, Wang, Guisheng, Fang, Chihua, Liu, Lianxin, Jia, Fucang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611902/
https://www.ncbi.nlm.nih.gov/pubmed/34819022
http://dx.doi.org/10.1186/s12880-021-00708-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8611902/
https://www.ncbi.nlm.nih.gov/pubmed/34819022
http://dx.doi.org/10.1186/s12880-021-00708-y

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