Title
Improved False Positive Reduction by Novel Morphological Features for Computer-Aided Polyp Detection in CT Colonography.
Abstract
Computer-aided detection (CAD) systems can assist radiologists in reducing the interpretation time and improving the detection results in computed tomographic colonography (CTC). However, existing false positives (FPs) impair the advantages of CAD systems. This study aims to develop new morphological features for the FP reduction while maintaining high detection sensitivity. Volumetric feature map...
Year
DOI
Venue
2019
10.1109/JBHI.2018.2808199
IEEE Journal of Biomedical and Health Informatics
Keywords
Field
DocType
Computed tomography,Three-dimensional displays,Feature extraction,Colonic polyps,Two dimensional displays,Databases
CAD,Computer vision,Pattern recognition,Computer-aided,Computer science,Feature extraction,Computed Tomographic Colonography,Computed tomography,Artificial intelligence,Cad system,False positive paradox
Journal
Volume
Issue
ISSN
23
1
2168-2194
Citations 
PageRank 
References 
2
0.50
0
Authors
6
Name
Order
Citations
PageRank
Yacheng Ren141.54
Jingchen Ma241.54
Junfeng Xiong331.19
Yi Chen420.50
Lin Lu5142.11
Jun Zhao69216.79