Cargando…
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...
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: | |
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 |
Ejemplares similares
-
UMRFormer-net: a three-dimensional U-shaped pancreas segmentation method based on a double-layer bridged transformer network
por: Fang, Kun, et al.
Publicado: (2023) -
Comparison of liver volumetry on contrast‐enhanced CT images: one semiautomatic and two automatic approaches
por: Cai, Wei, et al.
Publicado: (2016) -
Radiomic Feature-Based Predictive Model for Microvascular Invasion in Patients With Hepatocellular Carcinoma
por: He, Mu, et al.
Publicado: (2020) -
A radiomics-based formula for the preoperative prediction of postoperative pancreatic fistula in patients with pancreaticoduodenectomy
por: Zhang, Wenyu, et al.
Publicado: (2018) -
Details preserved unsupervised depth estimation by fusing traditional stereo knowledge from laparoscopic images
por: Luo, Huoling, et al.
Publicado: (2019)