Deep Learning-based Methods for MS Lesion Segmentation: A Review-Reference-Cited by-同舟云学术

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Deep Learning-based Methods for MS Lesion Segmentation: A Review

Published:2024-07-11 Issue: Volume:35 Page:676-682
ISSN:
Container-title:2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)
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Author:

Abdelali Hanene Ben¹,Sahnoun Mouna¹,Sakka Salma²,Damak Mariem²,Siarry Patrick³,Kallel Fathi¹

Affiliation:

1. Sfax University,Advanced Technologies for Medicine and Signals Lab, National Engineering School of Sfax,Sfax,Tunisia

2. CHU Habib Bourguiba,Neurology Departement,Sfax,Tunisia

3. Paris-Est Créteil University,Images Signals and Intelligent Systems Lab,Vitry-sur-Seine,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638790/10638839/10638969.pdf?arnumber=10638969

Reference33 articles.

1. Caregiver strain and factors associated with caregiver self-efficacy and quality of life in a community cohort with multiple sclerosis

2. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

3. Quality of Life and Emotional Strain in Caregivers of Patients with Multiple Sclerosis

4. Revue des approches de segmentation des lésions de sclérose en plaques dans les séquences conventionnelles IRM

5. Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network—A Pilot Study

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