A Supervised Quantification of the Color Names Characterizing the Visual Component Color in the ABCD Dermatological Criteria for a Further Melanoma Inspection-Reference-Cited by-同舟云学术

A Supervised Quantification of the Color Names Characterizing the Visual Component Color in the ABCD Dermatological Criteria for a Further Melanoma Inspection

Published:2022 Issue: Volume: Page:
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Container-title:Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health
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Author:

Daghrir Jinen¹²,Tlig Lotfi²,Bouchouicha Moez³,Litaiem Noureddine⁴,Zeglaoui Faten⁴,Sayadi Mounir²

Affiliation:

1. Université de Sousse, ISITCom, 4011, Hammam Sousse, Tunisia, --- Select a Country ---

2. Université de Tunis, ENSIT, Laboratory SIME, Tunisia, --- Select a Country ---

3. Aix Marseille Univ, Université de Toulon, CNRS, LIS, Toulon, France, --- Select a Country ---

4. University of Tunis El-Manar, Faculty of Medicine of Tunis, Department of Dermatology, Charles Nicolle Hospital, Tunis, Tunisia, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

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1. Texture Characterization Fuzzy Logic-Based Model for Melanoma Diagnosis;Cybernetics and Systems;2023-08-21

2. The Detection of Skin Cancer and Oral Cancer : A comparison of the proposed Hybrid Model with the Existing Detection Algorithms;2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT);2023-02-22

3. Extracting Color Name Features Utilized for Skin Disease Characterization and Comparing It to Other Representations Describing the ABCD Dermatological Criteria for Melanoma Inspection;Communications in Computer and Information Science;2023