Szczegóły publikacji

Opis bibliograficzny

Assessment of dots and globules in dermoscopic color images as one of the 7-point check list criteria / Joanna JAWOREK-KORJAKOWSKA, Ryszard TADEUSIEWICZ // W: ICIP 2013 [Dokument elektroniczny] : 2013 IEEE International Conference on Image Processing : September 15–18, 2013, Melbourne, Australia : proceedings. — Wersja do Windows. — Dane tekstowe. — Pisacataway : IEEE, cop. 2013. — e-ISBN: 978-1-4799-2341-0. — S. 1456–1460. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp==6738299 [2014-05-09]. — Bibliogr. s. 1460, Abstr. — W bazie Web of Science seria: IEEE International Conference on Image Processing ICIP ; ISSN 1522-4880

Autorzy (2)

Słowa kluczowe

hair removaldots and globulesmelanomaskin lesionfeature extraction

Dane bibliometryczne

ID BaDAP81352
Data dodania do BaDAP2014-05-19
DOI10.1109/ICIP.2013.6738299
Rok publikacji2013
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
Konferencja2013 IEEE International Conference on Image Processing

Abstract

Skin 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 rate has been observed worldwide, and the diagnosis and deaths are increasing faster than those of any other skin cancer. The presence or absence of irregular dots and globules is one of the most important dermoscopic criteria for the diagnosis of malignant melanoma. In this paper we propose a new approach to the assessment of dots and globules irregularity of the pigmented skin lesion. We describe a complex algorithm containing following steps: image enhancement, hair removal, lesion segmentation, dots and globules detection as well as irregularity calculation. The algorithm has been tested on a database of 100 dermoscopic images. Compared to state-of-the-art, we obtain improved detection and classification accuracy.

Publikacje, które mogą Cię zainteresować

fragment książki
#81350Data dodania: 19.5.2014
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.
fragment książki
#109389Data dodania: 24.10.2017
Detection and classification of pigment network in dermoscopic color images as one of the 7-point checklist criteria / Joanna JAWOREK-KORJAKOWSKA, Paweł KŁECZEK, Ryszard TADEUSIEWICZ // W: Recent developments and achievements in biocybernetics and biomedical engineering : proceedings of the 20th Polish Conference on Biocybernetics and Biomedical Engineering, Kraków, Poland, September 20-22, 2017 / eds. Piotr Augustyniak, Roman Maniewski, Ryszard Tadeusiewicz. — [Cham] : Springer International Publishing, cop. 2018. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 647). — ISBN: 978-3-319-66904-5; e-ISBN: 978-3-319-66905-2. — S. 174–181. — Bibliogr. s. 181, Abstr.