Comput Methods Programs Biomed - Unsupervised skin lesions border detection via two-dimensional image analysis.

Tópicos

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Resumo

The skin cancer was analyzed by dermoscopy helpful for dermatologists. The classification of melanoma and carcinoma such as basal cell, squamous cell, and merkel cell carcinomas tumors can be increased the sensitivity and specificity. The detection of an automated border is an important step for the correctness of subsequent phases in the computerized melanoma recognition systems. The artifacts such as, dermoscopy-gel, specular reflection and outline (skin lines, blood vessels, and hair or ruler markings) were also contained in the dermoscopic images. In this paper, we present an unsupervised approach for multiple lesion segmentation, modification of Region-based Active Contours (RACs) as well as artifact diminution steps. Iterative thresholding is applied to initialize level set automatically; the stability of curves is enforced by maximum smoothing constraints on Courant-Friedreichs-Lewy (CFL) function. The work has been tested on dermoscopic database of 320 images. The border detection error is quantified by five distinct statistical metrics and manually used to determine the borders from a dermatologist as the ground truth. The segmentation results were compared with other state-of-the-art methods along with the evaluation criteria. The unsupervised border detection system increased the true detection rate (TDR) is 4.31% and reduced the false positive rate (FPR) of 5.28%.

Resumo Limpo

skin cancer analyz dermoscopi help dermatologist classif melanoma carcinoma basal cell squamous cell merkel cell carcinoma tumor can increas sensit specif detect autom border import step correct subsequ phase computer melanoma recognit system artifact dermoscopygel specular reflect outlin skin line blood vessel hair ruler mark also contain dermoscop imag paper present unsupervis approach multipl lesion segment modif regionbas activ contour rac well artifact diminut step iter threshold appli initi level set automat stabil curv enforc maximum smooth constraint courantfriedreichslewi cfl function work test dermoscop databas imag border detect error quantifi five distinct statist metric manual use determin border dermatologist ground truth segment result compar stateoftheart method along evalu criteria unsupervis border detect system increas true detect rate tdr reduc fals posit rate fpr

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