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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...
Boundary irregularity of skin lesions is of clinical significance for early detection of malignant melanomas, while structural components of lesion contour have clinical significance in particular. To extract effective features of structural components of skin lesions, an integrated approach is proposed in this paper using wavelet decompositions and inter-class distance analysis (Hausdorff Distance,...
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...
Breast cancer has become one of the most dangerous tumors for middle-aged and older women in China recently. Mammography is its most reliable detection method in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms. In this paper, a new algorithm was proposed to estimate the skin-line of the breast automatically, which could be divided into four steps...
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