BACKGROUND: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Because of the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an important research area. Border detection is often the first step in this analysis. METHODS: In this article, we present an approximate lesion localization method that serves as a preprocessing step for detecting borders in dermoscopy images. In this method, first the black frame around the image is removed using an iterative algorithm. The approximate location of the lesion is then determined using an ensemble of thresholding algorithms. RESULTS: The method is tested on a set of 428 dermoscopy images. The localization error is quantified by a metric that uses dermatologist-determined borders as the ground truth. CONCLUSION: The results demonstrate that the method presented here achieves both fast and accurate localization of lesions in dermoscopy images.
BACKGROUND: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Because of the difficulty and subjectivity of human interpretation, automated analysis of dermoscopy images has become an important research area. Border detection is often the first step in this analysis. METHODS: In this article, we present an approximate lesion localization method that serves as a preprocessing step for detecting borders in dermoscopy images. In this method, first the black frame around the image is removed using an iterative algorithm. The approximate location of the lesion is then determined using an ensemble of thresholding algorithms. RESULTS: The method is tested on a set of 428 dermoscopy images. The localization error is quantified by a metric that uses dermatologist-determined borders as the ground truth. CONCLUSION: The results demonstrate that the method presented here achieves both fast and accurate localization of lesions in dermoscopy images.
Authors: M Emre Celebi; Y Alp Aslandogan; William V Stoecker; Hitoshi Iyatomi; Hiroshi Oka; Xiaohe Chen Journal: Skin Res Technol Date: 2007-11 Impact factor: 2.365
Authors: M G Fleming; C Steger; J Zhang; J Gao; A B Cognetta; I Pollak; C R Dyer Journal: Comput Med Imaging Graph Date: 1998 Sep-Oct Impact factor: 4.790
Authors: M Emre Celebi; Hassan A Kingravi; Hitoshi Iyatomi; Y Alp Aslandogan; William V Stoecker; Randy H Moss; Joseph M Malters; James M Grichnik; Ashfaq A Marghoob; Harold S Rabinovitz; Scott W Menzies Journal: Skin Res Technol Date: 2008-08 Impact factor: 2.365