خوارزمية جديدة للكشف عن الميلانوما

Other Title(s)

A new algorithm for melanoma detection

Author

لالا، بسام

Source

مجلة جامعة دمشق للعلوم الهندسية

Issue

Vol. 34, Issue 2 (31 Dec. 2018), pp.299-305, 7 p.

Publisher

Damascus University

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