خوارزمية جديدة للكشف عن الميلانوما
Other Title(s)
A new algorithm for melanoma detection
Author
Source
مجلة جامعة دمشق للعلوم الهندسية
Issue
Vol. 34, Issue 2 (31 Dec. 2018), pp.299-305, 7 p.
Publisher
Publication Date
2018-12-31
Country of Publication
Syria
No. of Pages
7
Main Subjects
Electronic engineering
Mechanical Engineering
Abstract EN
Melanoma is considered as one of the most dangerous skin tumors and most deadly, however the early detection of this disease helps in treating it successfully.
This research presents an automated detection system based on RGB technique for the processing of pigmented lesion colored image and isolating it from the other elements, and then adding HSL technique to support and improve the detection of the lesion, which we have achieved since the color range of the pigmented lesion was identified.
Using RGB and HSL techniques together has helped in distinguishing between Lentigo and Melanoma cancerous diseases despite their color resemblance, also between vascular lesion and Lentigo.
What increases the system reliability is that it doesn’t confuse these diseases.
American Psychological Association (APA)
لالا، بسام. 2018. خوارزمية جديدة للكشف عن الميلانوما. مجلة جامعة دمشق للعلوم الهندسية،مج. 34، ع. 2، ص ص. 299-305.
https://search.emarefa.net/detail/BIM-1221203
Modern Language Association (MLA)
لالا، بسام. خوارزمية جديدة للكشف عن الميلانوما. مجلة جامعة دمشق للعلوم الهندسية مج. 34، ع. 2 (2018)، ص ص. 299-305.
https://search.emarefa.net/detail/BIM-1221203
American Medical Association (AMA)
لالا، بسام. خوارزمية جديدة للكشف عن الميلانوما. مجلة جامعة دمشق للعلوم الهندسية. 2018. مج. 34، ع. 2، ص ص. 299-305.
https://search.emarefa.net/detail/BIM-1221203
Data Type
Journal Articles
Language
Arabic
Notes
يتضمن مراجع ببليوجرافية : ص. 296-297
Record ID
BIM-1221203