Comput Methods Programs Biomed - A coarse-to-fine approach for segmenting melanocytic skin lesions in standard camera images.

Tópicos

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Resumo

Melanoma is a type of malignant melanocytic skin lesion, and it is among the most life threatening existing cancers if not treated at an early stage. Computer-aided prescreening systems for melanocytic skin lesions is a recent trend to detect malignant melanocytic skin lesions in their early stages, and lesion segmentation is an important initial processing step. A good definition of the lesion area and its border is very important for discriminating between benign and malignant cases. In this paper, we propose to segment melanocytic skin lesions using a sequence of steps. We start by pre-segmenting the skin lesion, creating a new image representation (channel) where the lesion features are more evident. This new channel is thresholded, and the lesion border pre-detection is refined using an active-contours algorithm followed by morphological operations. Our experimental results based on a publicly available dataset suggest that our method potentially can be more accurate than comparable state-of-the-art methods proposed in literature.

Resumo Limpo

melanoma type malign melanocyt skin lesion among life threaten exist cancer treat earli stage computeraid prescreen system melanocyt skin lesion recent trend detect malign melanocyt skin lesion earli stage lesion segment import initi process step good definit lesion area border import discrimin benign malign case paper propos segment melanocyt skin lesion use sequenc step start preseg skin lesion creat new imag represent channel lesion featur evid new channel threshold lesion border predetect refin use activecontour algorithm follow morpholog oper experiment result base public avail dataset suggest method potenti can accur compar stateoftheart method propos literatur

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