Title
On simulating subjective evaluation using combined objective metrics for validation of 3D tumor segmentation.
Abstract
In this paper, we present a new segmentation evaluation method that can simulate radiologist's subjective assessment of 3D tumor segmentation in CT images. The method uses a new metric defined as a linear combination of a set of commonly used objective metrics. The weighing parameters of the linear combination are determined by maximizing the rank correlation between radiologist's subjective rating and objective measurements. Experimental results on 93 lesions demonstrate that the new composite metric shows better performance in segmentation evaluation than each individual objective metric. Also, segmentation rating using the composite metric compares well with radiologist's subjective evaluation. Our method has the potential to facilitate the development of new tumor segmentation algorithms and assist large scale segmentation evaluation studies.
Year
DOI
Venue
2007
10.1007/978-3-540-75757-3_118
MICCAI
Keywords
Field
DocType
individual objective metric,new tumor segmentation algorithm,composite metric,large scale segmentation evaluation,segmentation rating,tumor segmentation,combined objective metrics,subjective evaluation,segmentation evaluation,new composite metric shows,linear combination,new segmentation evaluation method,rank correlation
Rank correlation,Computer vision,Linear combination,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Tumor segmentation,Artificial intelligence,Spearman's rank correlation coefficient
Conference
Volume
Issue
ISSN
10
Pt 1
0302-9743
ISBN
Citations 
PageRank 
3-540-75756-2
2
0.42
References 
Authors
9
10
Name
Order
Citations
PageRank
Xiang Deng11085.29
Lei Zhu220.42
Yiyong Sun341428.70
Chenyang Xu473935.43
Lan Song520.42
Jiuhong Chen620.76
Reto D Merges720.76
Marie-Pierre Jolly853539.77
Michael Suehling9504.52
Xiaodong Xu1020.42