Survey on Skin lesion segmentation and classification

snehal ulhas salunke

Abstract


This paper focuses on the detection, segmentation and classification of skin lesion as a literature survey. Dermoscopy is one of the major imaging modalities used in the diagnosis of skin lesions such as melanoma and other pigmented lesions. Therefore, in order to minimize the diagnostic errors that result from the difficulty and subjectivity of visual interpretation, the development of computerized image analysis techniques is of paramount importance. This paper presents an approach for the analysis of skin lesion detection methodology, which consists of image acquisition, pre-processing, segmentation, feature extraction and classification based on ABCD rule. ABCD feature is used to calculate Total Dermatoscopic Value (TDS) for melanoma skin cancer diagnosis.

Keywords


Melanoma, Skin Cancer, Dermoscopy, CAD (Computer Analysis of Dermoscopy), Image segmentation, Iterative Thresholding, K mean clustering, Feature Extraction, ABCD rule

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References


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