Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Soumia Benbakreti"'
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
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:
International Journal of Computational Science and Engineering. 24:629
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11f06a7cc228b4fde12c1f50d8076de1
https://doi.org/10.1504/ijcse.2021.10043725
https://doi.org/10.1504/ijcse.2021.10043725
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a1aece4969f0530807c24428e608d81
https://doi.org/10.1109/icmcs.2012.6320280
https://doi.org/10.1109/icmcs.2012.6320280
Autor:
Soumia Benbakreti, Mohamed Benyettou
Publikováno v:
2012 International Conference on Information Technology and e-Services.
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper presents an automatic gait recognition system that recognizes a person by the way they walk. The gait signature is obtained based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5cb84540cbaaf36e740f3b51756a305
https://doi.org/10.1109/icites.2012.6216626
https://doi.org/10.1109/icites.2012.6216626