Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Mostafa El Habib Daho"'
Autor:
Santiago Gómez, Edgar Rangel, Daniel Mantilla, Andrés Ortiz, Paul Camacho, Ezequiel de la Rosa, Joaquin Seia, Jan S. Kirschke, Yihao Li, Mostafa El Habib Daho, Fabio Martínez
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Stroke, the second leading cause of mortality globally, predominantly results from ischemic conditions. Immediate attention and diagnosis, related to the characterization of brain lesions, play a crucial role in patient prognosis. Standard s
Externí odkaz:
https://doaj.org/article/da7ee9eff9e740c69ea74a6be1ec413c
Autor:
Fatima-Zahra El Barche, Anas-Alexis Benyoussef, Mostafa El Habib Daho, Antonin Lamard, Gwenolé Quellec, Béatrice Cochener, Mathieu Lamard
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract In the realm of ophthalmology, precise measurement of tear film break-up time (TBUT) plays a crucial role in diagnosing dry eye disease (DED). This study aims to introduce an automated approach utilizing artificial intelligence (AI) to mitig
Externí odkaz:
https://doaj.org/article/4497821e2bd34694af585b238c9dfc41
Autor:
Lamia Fatma Houbaba Chaouche Ramdane, Habib Mahi, Mostafa El Habib Daho, Mohammed El Amine Lazouni
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 252-260 (2022)
Abstract The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional approaches based on single cl
Externí odkaz:
https://doaj.org/article/03fea0c820404d788610cce3d763c2c1
Autor:
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, Sophie Bonnin, Deborah Cosette, Stephanie Magazzeni, Bruno Lay, Alexandre Le Guilcher, Ramin Tadayoni, Béatrice Cochener, Mathieu Lamard, Gwenolé Quellec
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2770 (2023)
Optical coherence tomography angiography (OCTA) can deliver enhanced diagnosis for diabetic retinopathy (DR). This study evaluated a deep learning (DL) algorithm for automatic DR severity assessment using high-resolution and ultra-widefield (UWF) OCT
Externí odkaz:
https://doaj.org/article/425ebe766038431b9d142efc946ffaaf
Autor:
Yihao Li, Rachid Zeghlache, Ikram Brahim, Hui Xu, Yubo Tan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho
Publikováno v:
Mitosis Domain Generalization and Diabetic Retinopathy Analysis ISBN: 9783031336577
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b95bd16013c31496307802d6c4fd64ed
https://doi.org/10.1007/978-3-031-33658-4_14
https://doi.org/10.1007/978-3-031-33658-4_14
Autor:
Mohammed El Amine Lazouni, Lamia Fatma Houbaba Chaouche Ramdane, Mostafa El Habib Daho, Habib Mahi
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 252-260 (2022)
The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional approaches based on single classifiers
Autor:
Mohammed Amine Chikh, Nesma Settouti, Mohammed El Amine Bechar, Mostafa El Habib Daho, Amina Boublenza
Publikováno v:
International Journal of Intelligent Computing and Cybernetics. 14:251-268
PurposeEnsemble methods have been widely used in the field of pattern recognition due to the difficulty of finding a single classifier that performs well on a wide variety of problems. Despite the effectiveness of these techniques, studies have shown
Publikováno v:
Biomedical Signal Processing and Control. 79:104187
Publikováno v:
Current medical imaging.
Background: Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently. Objective: In this paper we aim to test and compare different pre-trained deep learning models, to find the best mod
Autor:
Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Ramin Tadayoni, Pascal Massin, Béatrice Cochener, Gwenolé Quellec, Mathieu Lamard
Publikováno v:
Ophthalmic Medical Image Analysis ISBN: 9783031165245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7da8e5e2321a3c821fc5a801c1f8766
https://doi.org/10.1007/978-3-031-16525-2_5
https://doi.org/10.1007/978-3-031-16525-2_5