Cargando…
Feature Learning Based Random Walk for Liver Segmentation
Liver segmentation is a significant processing technique for computer-assisted diagnosis. This method has attracted considerable attention and achieved effective result. However, liver segmentation using computed tomography (CT) images remains a challenging task because of the low contrast between t...
Autores principales: | Zheng, Yongchang, Ai, Danni, Zhang, Pan, Gao, Yefei, Xia, Likun, Du, Shunda, Sang, Xinting, Yang, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112808/ https://www.ncbi.nlm.nih.gov/pubmed/27846217 http://dx.doi.org/10.1371/journal.pone.0164098 |
Ejemplares similares
-
Automatic liver segmentation based on appearance and context information
por: Zheng, Yongchang, et al.
Publicado: (2017) -
Adaptive Mesh Expansion Model (AMEM) for Liver Segmentation from CT Image
por: Wang, Xuehu, et al.
Publicado: (2015) -
Perioperative management of patients with liver cancer complicated with sarcopenia
por: Xing, Jiali, et al.
Publicado: (2022) -
Laparoscopic hepatectomy for patients who received enterostomy
por: Jin, Bao, et al.
Publicado: (2019) -
Urinary biomarkers for hepatocellular carcinoma: current knowledge for clinicians
por: Deng, Kaige, et al.
Publicado: (2023)