Hair detection and lesion segmentation in dermoscopic images using domain knowledge-Reference-Cited by-同舟云学术

Hair detection and lesion segmentation in dermoscopic images using domain knowledge

Published:2018-05-15 Issue:11 Volume:56 Page:2051-2065
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Pathan Sameena,Prabhu K. Gopalakrishna,Siddalingaswamy P. C.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/article/10.1007/s11517-018-1837-9/fulltext.html

Reference40 articles.

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2. Skin Cancer Foundation. In: Skin cancer facts & statistics - SkinCancer.org . https://www.skincancer.org/skin-cancer-information/skin-cancer-facts [Accessed 12 Jan 2018]

3. Riaz F, Hassan A, Nisar R et al (2017) Content-adaptive region-based color texture descriptors for medical images. IEEE J Biomed Health Inf 21(1):162–171. https://doi.org/10.1109/jbhi.2015.2492464

4. Ma Z, Tavares JMRS (2016) A novel approach to segment skin lesions in dermoscopic images based on a deformable model. IEEE J Biomed Health Inf 20(2):615–623. https://doi.org/10.1109/jbhi.2015.2390032

5. Abuzaghleh O, Barkana BD, Faezipour M (2015) Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention. IEEE J Transl Eng Health Med 3:1–12. https://doi.org/10.1109/jtehm.2015.2419612

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