Szczegóły publikacji
Opis bibliograficzny
Assessment of asymmetry in dermoscopic colour images of pigmented skin lesions / Joanna JAWOREK-KORJAKOWSKA, Ryszard TADEUSIEWICZ // W: Proceedings of the 10th IASTED international conference on Biomedical engineering [Dokument elektroniczny] : February 13–15, 2013, Innsbruck, Austria / ed. A. R. Boccaccini. — Wersja do Windows. — Dane tekstowe. — Anaheim ; Calgary ; Zurich : ACTA Press, cop. 2013. — 1 dysk optyczny. — (A Publication of the International Association of Science and Technology for Development ; 791). — e-ISBN: 978-0-88986-942-4. — S. 368–375. — Wymagania systemowe: Adobe Reader ; napęd CD-ROM. — Bibliogr. s. 374–375, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 81350 |
|---|---|
| Data dodania do BaDAP | 2014-05-19 |
| DOI | 10.2316/P.2013.791-026 |
| Rok publikacji | 2013 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 10th IASTED international conference on Biomedical engineering |
| Czasopismo/seria | A Publication of the International Association of Science and Technology for Development |
Abstract
kin cancer is the most commonly diagnosed type of cancer in all people, regardless of age, gender, or race. One of the most common malignant skin cancer is melanoma which is a dangerous proliferation of melanocytes. In the last several years an increasing melanoma incidence has been observed worldwide, and thediagnosis and deaths are increasing faster than those of any other skin cancer. Only in UK around 12,800 new cases of malignant melanoma were diagnosed in 2010. This paper presents a new approach to the assessment of asymmetry of the pigmented skin lesion. Asymmetry is one of the most important indicator and it contributes substantially to the diagnosis of melanoma in the commonly used diagnostic algorithm, ABCD rule. This paper describes a complex algorithm containing following steps: image enhancement, border detection, lesion segmentation, positioning of axes, and calculation of the asymmetry parameters. The automated asymmetry assessment is based on definition and calculation of the geometry parameters and colour variation (pigmentation, texture) of the lesion. The algorithm has been tested on a database of 100 images (30 malignant lesions and 70 benign lesions). The effectiveness of the proposed method is shown through experiments and compared to diagnosis results by clinical experts. The sensitivity and accuracy have improved significantly.
