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pro vyhledávání: '"SAMIR, BENBAKRETI"'
In medical practice, the contribution of information technology can be considerable. Most of these practices include the images that medical assistance uses to identify different pathologies of the human body. One of them is X-ray images which cover
Externí odkaz:
http://arxiv.org/abs/2301.02468
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 1, Pp 93-107 (2024)
Breast cancer is a prevalent disease that primarily affects women globally, but it can also affect men. Early detection is crucial for better treatment outcomes, and mammography is a common screening method. Recommendations for mammograms vary by age
Externí odkaz:
https://doaj.org/article/dfa4b13498354f7c8f6cf4dfe66a0e9a
Publikováno v:
Acta Polytechnica, Vol 64, Iss 1 (2024)
Visual impairment affects more than a billion people worldwide due to insufficient care or inadequate vision screening. Computer-aided diagnosis using deep neural networks is a promising approach, it can analyse and process retinal fundus images, pro
Externí odkaz:
https://doaj.org/article/1980bd44ca6a496d87146a9a980b0bec
Publikováno v:
International Journal of Computational Science and Engineering. 24:629
Publikováno v:
International Journal on Communications Antenna and Propagation (IRECAP). 7:254
This paper concerns with the online recognition of isolated hand writing Arabic characters, through, the interpretation of a script presented by a pen trajectory. This technique was generally used in the electronic organizers of Personal Digital Assi
Autor:
SAMIR, BENBAKRETI, BOUKELIF, AOUED
Publikováno v:
Acta Polytecnica: Journal of Advanced Engineering; 2018, Vol. 58 Issue 5, p297-307, 11p
Publikováno v:
ICMCS
The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagn