@inbook{e90ce75d03f340708e3d80cb96192feb,
title = "Automatic fitting of feature points for border detection of skin lesions in medical images with bat algorithm",
abstract = "This paper addresses the problem of automatic fitting of feature points for border detection of skin lesions. This problem is an important task in segmentation of dermoscopy images for semi-automatic early diagnosis of melanoma and other skin lesions. Given a set of feature points selected by a dermatologist, we apply a powerful nature-inspired metaheuristic optimization method called bat algorithm to obtain the free-form parametric B{\'e}zier curve that fits the points better in the least-squares sense. Our experimental results on two examples of skin lesions show that the method performs quite well and might be applied to automatic fitting of feature points for border detection in medical images.",
keywords = "Bat algorithm, Border detection, Computational intelligence, Medical images, Nature-inspired metaheuristic techniques, Skin lesion",
author = "Akemi G{\'a}lvez and Iztok Fister and Iztok Fister and Eneko Osaba and {Del Ser}, Javier and Andr{\'e}s Iglesias",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.",
year = "2018",
doi = "10.1007/978-3-319-99626-4_31",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "357--368",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}
