Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Youssef Filali"'
Autor:
Omega John Unogwu, Youssef Filali
Publikováno v:
Wasit Journal of Computer and Mathematics Science, Vol 2, Iss 3 (2023)
Fraudulent internet transactions have caused considerable harm and losses for both people and organizations over time. The growth of cutting-edge technology and worldwide connectivity has exacerbated the rise in online fraud instances. To offset thes
Externí odkaz:
https://doaj.org/article/28d7a6699f354306b40a494f587b3768
Publikováno v:
WSEAS TRANSACTIONS ON SIGNAL PROCESSING. 18:37-44
Recently with the rapid development of artificial intelligence AI, various deep learning algorithms represented by Convolutional Neural Networks (CNN) have been widely utilized in various fields, showing their unique advantages; especially in Skin Ca
Publikováno v:
2022 International Conference on Intelligent Systems and Computer Vision (ISCV).
Publikováno v:
Multimedia Tools and Applications. 79:31219-31238
Skin cancer is one of the most aggressive cancers in the world. Computer-Aided Diagnosis (CAD) system for cancer detection and classification is a top-rated solution that decreases human effort and time with very high classification accuracy. Machine
Publikováno v:
Asian Journal of Applied Sciences. 10
Today, the science of artificial intelligence has become one of the most important sciences in creating intelligent computer programs that simulate the human mind. The goal of artificial intelligence in the medical field is to assist doctors and heal
Publikováno v:
Journal of Computer Science. 15:1225-1236
This paper presents a new approach to detect and classify skin lesions for melanoma diagnosis with high accuracy. Skin lesion detection is based on an image decomposition into two components using the Partial Differential Equation (PDE). The first co
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030725877
Health authorities consider skin cancer to be one of the deadliest cancers in the world. Computer-Aided Diagnosis (CAD) systems are a widely used solution for the detection and the classification of skin cancers. Such systems reduce significantly doc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::445da0190c67e3e2a6e8c1fa232ab6ad
https://doi.org/10.1007/978-3-030-72588-4_14
https://doi.org/10.1007/978-3-030-72588-4_14
Publikováno v:
Artificial Intelligence and Industrial Applications ISBN: 9783030539696
Melanoma is the most dangerous form of skin cancer that often looks like moles. Dermatologists often recommend a regular examination of the skin to identify eliminate the melanoma in its early stages. To facilitate this process, we present an embedde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd7b499bdde3f3ea3e5078099499f64a
https://doi.org/10.1007/978-3-030-53970-2_28
https://doi.org/10.1007/978-3-030-53970-2_28
Publikováno v:
2020 International Conference on Intelligent Systems and Computer Vision (ISCV).
In recent years skin cancer is becoming more and more threatening because of its fast and significant spread worldwide. This evidence has increased interest and efforts in the development of automatic diagnostic computational systems to assist early
Publikováno v:
Embedded Systems and Artificial Intelligence ISBN: 9789811509469
Recently, skin cancer has been rapidly increasing in terms of the number of melanoma cases due to the skin exposure to the sun. Melanoma is the deadliest skin cancer in the world. It is necessary to use a computer-aided diagnostic to help and facilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2d2e78e3668eb8d5371d6baa420b21f
https://doi.org/10.1007/978-981-15-0947-6_36
https://doi.org/10.1007/978-981-15-0947-6_36