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ORCIDHenda Boudegga
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2020 – today
- 2025
[j2]Henda Boudegga
, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Nesrine Abroug, Mohamed Hedi Bedoui:
Convolution Block Extension of DCNN for Retinal Vascular Segmentation: Taxonomy and Discussion. Int. J. Imaging Syst. Technol. 35(4) (2025)- 2023
- [c3]Henda Boudegga, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Mohamed Hedi Bedoui:
Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels. CoDIT 2023: 2451-2456 - [c2]Henda Boudegga, Yaroub Elloumi, Asma Ben Abdallah, Rostom Kachouri, Mohamed Hedi Bedoui:
Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture. ESANN 2023 - 2022
- [c1]Henda Boudegga, Yaroub Elloumi, Rostom Kachouri, Asma Ben Abdallah, Mohamed Hédi Bedoui:
Extended U-net for Retinal Vessel Segmentation. ICCCI (CCIS Volume) 2022: 564-576 - 2021
- [j1]Henda Boudegga, Yaroub Elloumi, Mohamed Akil, Mohamed Hedi Bedoui, Rostom Kachouri, Asma Ben Abdallah:
Fast and efficient retinal blood vessel segmentation method based on deep learning network. Comput. Medical Imaging Graph. 90: 101902 (2021)
2010 – 2019
- 2019
- [i1]Yaroub Elloumi, Mohamed Akil, Henda Boudegga:
Ocular Diseases Diagnosis in Fundus Images using a Deep Learning: Approaches, tools and Performance evaluation. CoRR abs/1905.02544 (2019)
Coauthor Index
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