Multi-object 3D segmentation of brain structures using a geometric deformable model with a priori knowledge

Author:

Baghdadi Mohamed12ORCID,Benamrane Nacéra2,Boukadoum Mounir3,Sais Lakhdar4

Affiliation:

1. Department of Computer Science, Faculty of Mathematics and Computer Science, Ibn Khaldoun University of Tiaret, Tiaret, Algeria

2. SIMPA Laboratory, Department of Computer Science, Faculty of Mathematics and Computer Science, University of Sciences and Technology of Oran Mohamed Boudiaf, USTO-MB, Oran, Algeria

3. Department of Computer Science, University of Quebec at Montreal, Montreal, QC H2X 3Y7, Canada

4. CRIL – CNRS, UMR 8188 Université Lille Nord de France, Lens Cedex, France

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Reference79 articles.

1. Identification of Alzheimer's disease using a convolutional neural network model based on T1-weighted magnetic resonance imaging

2. Alterations of brain networks in Alzheimer's disease and mild cognitive impairment: a resting-state fMRI study based on a population-specific brain template;Luo Y;Neuroscience,2021

3. Application of artificial intelligence in the MRI classification task of human brain neurological and psychiatric diseases: A scoping review diagnostics;Zhang Z;Diagnostics,2021

4. Kharrat A, Benamrane N, Ben Messaoud M, et al. Genetic algorithm for feature selection of MR brain images using wavelet co-occurrence. Proceedings of SPIE - The International Society for Optical Engineering 8285, IEEE International Conference on Graphic and image Processing (ICGIP 2011), 2011. doi:10.1117/12.913381

5. Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network

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