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...
Main Authors: | Wei Zhang, Xiaolong Zhang, Juanjuan Zhao, Yan Qiang, Qi Tian, Xiaoxian Tang |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5589176?pdf=render |
Similar Items
-
A Segmentation Method for Lung Parenchyma Image Sequences Based on Superpixels and a Self-Generating Neural Forest.
by: Xiaolei Liao, et al.
Published: (2016-01-01) -
Fast and Automatic Image Segmentation Using Superpixel-Based Graph Clustering
by: Xiaohong Jia, et al.
Published: (2020-01-01) -
An Interactive Segmentation Method Based on Superpixel
by: Yang Shu, et al.
Published: (2015-01-01) -
IMAGE SEGMENTATION BASED ON SUPERPIXEL GRAPHS
by: CAROLINE ROSA REDLICH
Published: (2018) -
Brain tumour segmentation from MRI using superpixels based spectral clustering
by: Angulakshmi Maruthamuthu, et al.
Published: (2020-12-01)