Extracting Color Name Features Utilized for Skin Disease Characterization and Comparing It to Other Representations Describing the ABCD Dermatological Criteria for Melanoma Inspection-Reference-Cited by-同舟云学术

Extracting Color Name Features Utilized for Skin Disease Characterization and Comparing It to Other Representations Describing the ABCD Dermatological Criteria for Melanoma Inspection

Published:2023 Issue: Volume: Page:17-34
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Daghrir Jinen^ORCID,Tlig Lotfi,Bouchouicha Moez,Moreau Eric,Litaiem Noureddine,Zeglaoui Faten,Sayadi Mounir

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-37496-8_2

Reference39 articles.

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3. Adegun, A., Viriri, S.: Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. Artif. Intell. Rev. 54(2), 811–841 (2021)

4. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);AA Adeyinka,2018

5. Al-Masni, M.A., Al-Antari, M.A., Choi, M.T., Han, S.M., Kim, T.S.: Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Comput. Meth. Programs Biomed. 162, 221–231 (2018)

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