Title
Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.
Abstract
A single click ensemble segmentation (SCES) approach based on an existing "Click&Grow" algorithm is presented. The SCES approach requires only one operator selected seed point as compared with multiple operator inputs, which are typically needed. This facilitates processing large numbers of cases. Evaluation on a set of 129 CT lung tumor images using a similarity index (SI) was done. The average SI is above 93% using 20 different start seeds, showing stability. The average SI for 2 different readers was 79.53%. We then compared the SCES algorithm with the two readers, the level set algorithm and the skeleton graph cut algorithm obtaining an average SI of 78.29%, 77.72%, 63.77% and 63.76% respectively. We can conclude that the newly developed automatic lung lesion segmentation algorithm is stable, accurate and automated.
Year
DOI
Venue
2013
10.1016/j.patcog.2012.10.005
Pattern Recognition
Keywords
Field
DocType
image features,ct image,automated delineation,automatic lung lesion segmentation,ensemble segmentation,region growing,average si,delineation,single click ensemble segmentation,lung tumor,ct,level set algorithm,sces algorithm,multiple operator input,different start seed,different reader,sces approach,lesion,ct lung tumor image
Lung lesion,Pattern recognition,Feature (computer vision),Segmentation,Computer science,Level set algorithm,Artificial intelligence,Region growing,Operator (computer programming),Machine learning,Graph cut algorithm
Journal
Volume
Issue
ISSN
46
3
0031-3203
Citations 
PageRank 
References 
19
1.08
25
Authors
15
Name
Order
Citations
PageRank
Yuhua Gu1818.57
Virendra Kumar2221.47
Lawrence O. Hall35543335.87
Dmitry B. Goldgof42021198.90
Ching-Yen Li5191.08
René Korn6191.75
Claus Bendtsen7317.58
Emmanuel Rios Velazquez8191.08
Andre Dekker9221.87
Hugo Aerts10272.18
Philippe Lambin11617.06
Xiu-Li Li12886.24
Jie Tian131475159.24
ROBERT A. GATENBY144912.92
Robert J Gillies154712.10