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Feature extracted from structural irregularity for skin lesion boundaries has a great significance in computer-aided diagnosis for melanomas. Based on previous work using local fractal dimension (local FD) for contour irregularity descriptions, the novelty of this paper focuses on: (1) Multi-scaled curvature analysis is used to acquire features of boundary irregularity (2) Feature differences from...
The purpose of this study is to investigate the significance of the multi-agent interactive information fusion algorithm over the matter of identification of breast masses in digitized images. For the lack of enough correlation information between the individual classifiers, the generalization performance of the Bayesian fusion method is sometimes far from the expected level, and thereby the multi-agent...
Boundary irregularity of melanomas is one of most important clinical indicators to discriminate from benign moles. Conventional fractal dimension (FD) is utilized to describe boundary complexity with weaker criminative power. The objective of the paper is to explore new boundary irregularity descriptors at different scales. In the paper, there are two novel measures of boundary's structural irregularities...
The incidence of breast cancer has been quickly raised in China recently. Mammography is regarded as the most reliable detection method of breast tumor and with the increase of cases, computer-aided diagnosis/detection (CAD) has been widely studied and applied to assist the radiologists. In the previous research, we had studied the detection algorithm of the microcalcifications (MCs) and the masses...
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