The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems.
10.4258/hir.2011.17.3.143
- Author:
Tae Yun KIM
1
;
Jaebum SON
;
Kwang Gi KIM
Author Information
1. Biomedical Engineering Branch, National Cancer Center, Goyang, Korea. kimkg@ncc.re.kr
- Publication Type:Review
- Keywords:
Radiography;
Computer-Assisted Image Analysis;
Computer-Assisted Image Processing;
Classification;
Quantitative Evaluation
- MeSH:
Diagnostic Imaging;
Evaluation Studies as Topic;
Humans;
Image Processing, Computer-Assisted;
Magnetic Resonance Imaging;
Research Subjects
- From:Healthcare Informatics Research
2011;17(3):143-149
- CountryRepublic of Korea
- Language:English
-
Abstract:
Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different CAD schemes are being developed for use in the detection and/or characterization of various lesions found through various types of medical imaging. These imaging technologies employ conventional projection radiography, computed tomography, magnetic resonance imaging, ultrasonography, etc. In order to achieve a high performance level for a computerized diagnosis, it is important to employ effective image analysis techniques in the major steps of a CAD scheme. The main objective of this review is to attempt to introduce the diverse methods used for quantitative image analysis, and to provide a guide for clinicians.