Fuzzy Ontology for Automatic Skin Lesion Classification-Reference-Cited by-同舟云学术

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Fuzzy Ontology for Automatic Skin Lesion Classification

Published:2021-01-07 Issue:4 Volume:49 Page:20200134
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Abbes Wiem¹,Sellami Dorra²,Marc-Zwecker Stella³,Zanni-Merk Cecilia⁴

Affiliation:

1. CEM Laboratory, National Engineering School of Sfax, Sfax University, Soukra St., Sfax 3038, Tunisia (Corresponding author), e-mail: wiem.abbes@enis.tn, https://orcid.org/0000-0001-6414-7931

2. CEM Laboratory, National Engineering School of Sfax, Sfax University, Soukra St., Sfax 3038, Tunisia, https://orcid.org/0000-0002-0199-7186

3. ICUBE/SDC Team, University of Strasbourg, CNRS, Sébastien Brant St., Illkirch 67400, France, https://orcid.org/0000-0002-6832-922X

4. LITIS/MIND, INSA Rouen, Normandy University, University Ave., Saint-Étienne-du-Rouvray 76000, France, https://orcid.org/0000-0002-5189-9154

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Melanoma Detection Using CBR Approach Within a Possibilistic Framework;Lecture Notes in Computer Science;2024

2. DEVO: an ontology to assist with dermoscopic feature standardization;BMC Medical Informatics and Decision Making;2023-08-18

3. Neural Network Architecture for ROI Segmentation Based on Melanoma Detection;2023 International Conference on IoT, Communication and Automation Technology (ICICAT);2023-06-23

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