Cargando…
A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise
The fast and accurate segmentation of lung nodule image sequences is the basis of subsequent processing and diagnostic analyses. However, previous research investigating nodule segmentation algorithms cannot entirely segment cavitary nodules, and the segmentation of juxta-vascular nodules is inaccur...
Autores principales: | Zhang, Wei, Zhang, Xiaolong, Zhao, Juanjuan, Qiang, Yan, Tian, Qi, Tang, Xiaoxian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589176/ https://www.ncbi.nlm.nih.gov/pubmed/28880916 http://dx.doi.org/10.1371/journal.pone.0184290 |
Ejemplares similares
-
Superpixel Segmentation Based on Grid Point Density Peak Clustering
por: Chen, Xianyi, et al.
Publicado: (2021) -
A Segmentation Method for Lung Parenchyma Image Sequences Based on Superpixels and a Self-Generating Neural Forest
por: Liao, Xiaolei, et al.
Publicado: (2016) -
A survey on the utilization of Superpixel image for clustering based image segmentation
por: Sasmal, Buddhadev, et al.
Publicado: (2023) -
A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering
por: Ji, Shiyong, et al.
Publicado: (2014) -
Automatic glioma segmentation based on adaptive superpixel
por: Wu, Yaping, et al.
Publicado: (2019)