Title | ||
---|---|---|
Improved False Positive Reduction by Novel Morphological Features for Computer-Aided Polyp Detection in CT Colonography. |
Abstract | ||
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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 Ren | 1 | 4 | 1.54 |
Jingchen Ma | 2 | 4 | 1.54 |
Junfeng Xiong | 3 | 3 | 1.19 |
Yi Chen | 4 | 2 | 0.50 |
Lin Lu | 5 | 14 | 2.11 |
Jun Zhao | 6 | 92 | 16.79 |