Cargando…
Liver tumor segmentation in CT volumes using an adversarial densely connected network
BACKGROUND: Malignant liver tumor is one of the main causes of human death. In order to help physician better diagnose and make personalized treatment schemes, in clinical practice, it is often necessary to segment and visualize the liver tumor from abdominal computed tomography images. Due to the l...
Autores principales: | Chen, Lei, Song, Hong, Wang, Chi, Cui, Yutao, Yang, Jian, Hu, Xiaohua, Zhang, Le |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886252/ https://www.ncbi.nlm.nih.gov/pubmed/31787071 http://dx.doi.org/10.1186/s12859-019-3069-x |
Ejemplares similares
-
Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks
por: Cui, Yunhao, et al.
Publicado: (2021) -
Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss
por: Zhang, Lun, et al.
Publicado: (2022) -
Adversarial dense graph convolutional networks for single-cell classification
por: Wang, Kangwei, et al.
Publicado: (2023) -
MAGAN: Mask Attention Generative Adversarial Network for Liver Tumor CT Image Synthesis
por: Liu, Yang, et al.
Publicado: (2021) -
A partial convolution generative adversarial network for lesion synthesis and enhanced liver tumor segmentation
por: Liu, Yingao, et al.
Publicado: (2023)