Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research
Joint Authors
Wang, Shijun
Burtt, Karen
Turkbey, Baris
Choyke, Peter
Summers, Ronald M.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Prostate cancer (PCa) is the most commonly diagnosed cancer among men in the United States.
In this paper, we survey computer aided-diagnosis (CADx) systems that use multiparametric magnetic resonance imaging (MP-MRI) for detection and diagnosis of prostate cancer.
We review and list mainstream techniques that are commonly utilized in image segmentation, registration, feature extraction, and classification.
The performances of 15 state-of-the-art prostate CADx systems are compared through the area under their receiver operating characteristic curves (AUC).
Challenges and potential directions to further the research of prostate CADx are discussed in this paper.
Further improvements should be investigated to make prostate CADx systems useful in clinical practice.
American Psychological Association (APA)
Wang, Shijun& Burtt, Karen& Turkbey, Baris& Choyke, Peter& Summers, Ronald M.. 2014. Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research. BioMed Research International،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1016562
Modern Language Association (MLA)
Wang, Shijun…[et al.]. Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research. BioMed Research International No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1016562
American Medical Association (AMA)
Wang, Shijun& Burtt, Karen& Turkbey, Baris& Choyke, Peter& Summers, Ronald M.. Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1016562
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016562