Get started
Author

Henda Boudegga

Observed names: Boudegga, Henda, henda boudegga
ORCID: 0000-0003-1795-7565
Observed ORCID: 0000-0003-1795-7565
OpenAlex ID: A5073936037
Fast and efficient retinal blood vessel segmentation method based on deep learning network
2021 · Henda Boudegga, Yaroub Elloumi, et al. · Computerized Medical Imaging and Graphics · 104
PDF
Ocular diseases diagnosis in fundus images using a deep learning: approaches, tools and performance evaluation
2019 · Yaroub Elloumi, Mohamed Akil, et al. · Real-Time Image Processing and Deep Learning · 41
PDF
Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture
2023 · henda boudegga, Yaroub Elloumi, et al. · European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) · 7
PDF
Extended U-net for Retinal Vessel Segmentation
2022 · Henda Boudegga, Yaroub Elloumi, et al. · Communications in computer and information science · 4
Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels
2023 · Henda Boudegga, Yaroub Elloumi, et al. · International Conference on Control, Decision and Information Technologies (CoDIT) · 2
PDF
Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion
2025 · Henda Boudegga, Yaroub Elloumi, et al. · International Journal of Imaging Systems and Technology · 1
PDF
Dual Encoder DCNN for Efficient and Robust Segmentation of Retinal Vascular Tree From Fundus Images
2026 · Henda Boudegga, Yaroub Elloumi · International Journal of Imaging Systems and Technology
Méthode automatique à base d’apprentissage profond pour la segmentation de l’arbre vasculaire rétinien
2023 · Boudegga, Henda, Elloumi, Yaroub, et al. · HAL
Architecture d'apprentissage profond à traitement convolutif optimisé pour la segmentation de l'arbre vasculaire rétiniens
2023 · Boudegga, Henda, Elloumi, Yaroub, et al. · HAL
Segmentation de l'arbre vasculaire rétinien : étude de la performance en fonction de l'approche de segmentation
2020 · Boudegga, Henda, Boukaddida, Rahma, et al. · HAL
Works count: 10
Citation count: 159
H-index: 4
I10-index: 2
Year
Topic
Type