Texture Characterization Fuzzy Logic-Based Model for Melanoma Diagnosis-Reference-Cited by-同舟云学术

Texture Characterization Fuzzy Logic-Based Model for Melanoma Diagnosis

Published:2023-08-21 Issue: Volume: Page:1-19
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

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

Affiliation:

1. ISITCOM, Université de Sousse, Hammam Sousse, Tunisie

2. Laboratory SIME, ENSIT, Université de Tunis, Tunis, Tunisie

3. Aix Marseille University, CNRS, LIS Université de Toulon, Toulon, France

4. Department of Dermatology, FMT, University of Tunis El-Manar, Tunis, Tunisia

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2023.2247262

Reference39 articles.

1. A shallow extraction of texture features for classification of abnormal video endoscopy frames

2. Evaluation of textural and multipolarization radar features for crop classification

3. Blue-black rule: a simple dermoscopic clue to recognize pigmented nodular melanoma

4. Armi, L., and S. Fekri-Ershad. 2019. Texture image analysis and texture classification methods-A review. International Online Journal of Image Processing and Pattern Recognition 2 (1):1–29.

5. GENERALIZATION OF THE COOCCURRENCE MATRIX FOR COLOUR IMAGES: APPLICATION TO COLOUR TEXTURE CLASSIFICATION

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