Szczegóły publikacji

Opis bibliograficzny

Hair removal from dermoscopic color images / Joanna JAWOREK-KORJAKOWSKA, Ryszard TADEUSIEWICZ // Bio-Algorithms and Med-Systems / Jagiellonian University. Medical College ; ISSN 1895-9091. — 2013 — vol. 9 no. 2, s. 53–58. — Bibliogr. s. 57–58, Abstr.

Autorzy (2)

Słowa kluczowe

dermoscopyhair removalimage inpaintingskin cancertop hat transform

Dane bibliometryczne

ID BaDAP75673
Data dodania do BaDAP2013-09-17
DOI10.1515/bams-2013-0013
Rok publikacji2013
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaBio-Algorithms and Med-Systems

Abstract

Skin cancer is the most commonly diagnosed type of cancer in people, regardless of age, gender, or race. One of the most common malignant skin cancers is melanoma, which is a dangerous proliferation of melanocytes. It is a well-known fact that early diagnosis of skin cancer is crucial and allows for successful treatment. Treatment of melanoma is not effective when melanoma is at an advanced stage. A widely used tool for the examination of skin lesions is a dermatoscope, which uses optic magnification to visualize features that are invisible to the naked eye. For a precise and objective diagnosis, there is a need for a computerized method for the removal and inpainting of hairs in image processing. In this study, we present an algorithm for the detection and inpainting of hairs in color dermoscopic images.

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fragment książki
#145347Data dodania: 2.3.2023
Skin\_Hair Dataset: setting the benchmark for effective hair inpainting methods for improving the image quality of dermoscopic images / Joanna JAWOREK-KORJAKOWSKA, Anna WÓJCICKA, Dariusz KUCHARSKI, Andrzej BRODZICKI, Connah Kendrick, Bill Cassidy, Moi Hoon Yap // W: Computer Vision – ECCV 2022 workshops : 17th European conference : Tel Aviv, Israel, October 23–27, 2022 : proceedings, Pt. 4 / eds.  Leonid Karlinsky, Tomer Michaeli, Ko Nishino. — Cham, Switzerland : Springer Nature Switzerland AG, cop. 2022. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 13804). — ISBN: 978-3-031-25068-2; e-ISBN: 978-3-031-25069-9. — S. 167–184. — Bibliogr., Abstr. — Publikacja dostępna online od: 2023-02-14. — J. Jaworek-Korjakowska - dod. afiliacja: Stanford School of Medicine, USA
artykuł
#88155Data dodania: 10.3.2015
Design of a teledermatology system to support the consultation of dermoscopic cases using mobile technologies and cloud platform / Joanna JAWOREK-KORJAKOWSKA, Ryszard TADEUSIEWICZ // Bio-Algorithms and Med-Systems / Jagiellonian University. Medical College ; ISSN 1895-9091. — 2015 — vol. 11 iss. 1, s. 53–58. — Bibliogr. s. 58, Abstr.