Development of a Novel Border Detection Method for Melanocytic and Non-Melanocytic Dermoscopy Images

被引:5
作者
Norton, Kerri-Ann [1 ]
Iyatomi, Hitoshi [2 ]
Celebi, M. Emre [3 ]
Schaefer, Gerald [4 ]
Tanaka, Masaru [5 ]
Ogawa, Koichi [2 ]
机构
[1] Rutgers State Univ, BioMaPS Inst, Piscataway, NJ 08855 USA
[2] Hosei Univ, Fac Engn, Koganei, Tokyo 1848522, Japan
[3] Louisiana State Univ, Dept Comp Sci, Shreveport, LA 71115 USA
[4] Loughborough Univ, Dept Comp Sci, Loughborough, Leics, England
[5] Tokyo Womens Med Ctr East, Dept Dermatol, Tokyo, Japan
来源
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
关键词
dermoscopy; non-melanoma; segmentation; NONMELANOMA SKIN-CANCER; DIAGNOSIS;
D O I
10.1109/IEMBS.2010.5626499
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Computer aided diagnosis of dermoscopy images has shown great promise in developing a quantitative, objective way of classifying skin lesions. An important step in the classification process is the lesion segmentation. Many papers have been successful at segmenting melanocytic skin lesions (MSLs) but few have focused on non-melanocytic skin lesions (NoMSLs), since the wide variety of lesions makes accurate segmentation difficult. We developed an automatic segmentation program for the border detection of skin lesions. We tested our method on a set of 107 non-melanocytic lesions and on a set of 319 melanocytic lesions. Our method achieved precision/recall scores of 84.5% and 88.5% for NoMSLs, achieving higher scores than two previously published methods. Our method also achieved precision/recall scores of 93.9% and 93.8% for MSLs which was competitive or better than the two other methods. Therefore, we conclude that our approach is an accurate segmentation method for both melanocytic and non-melanocytic lesions.
引用
收藏
页码:5403 / 5406
页数:4
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