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The recent progress in quantitative medical image analysis for computer aided diagnosis systems
Tae-Yun Kim1, Jaebum Son, Kwang-Gi Kim
1Biomedical Engineering Branch, National Cancer Center, Goyang, Korea.
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.
