Using Convolutional Neural Networks for Segmentation of Multiple Sclerosis Lesions in 3D Magnetic Resonance Imaging
- DOI
- 10.1155/2022/4905115
- Published
- 2022-04-22
- Container
- Advances in Materials Science and Engineering
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1155/2022/4905115,
title = {Using Convolutional Neural Networks for Segmentation of Multiple Sclerosis Lesions in 3D Magnetic Resonance Imaging},
author = {Abdulsattar Abdullah Hamad and Mustafa Musa Jaber and Mohammed Altaf Ahmed and Ghaida Muttashar Abdulsahib and Osamah Ibrahim Khalaf and Zelalem Meraf},
year = {2022},
journal = {Advances in Materials Science and Engineering},
doi = {10.1155/2022/4905115},
url = {https://doi.org/10.1155/2022/4905115}
}RIS
TY - JOUR TI - Using Convolutional Neural Networks for Segmentation of Multiple Sclerosis Lesions in 3D Magnetic Resonance Imaging AU - Abdulsattar Abdullah Hamad AU - Mustafa Musa Jaber AU - Mohammed Altaf Ahmed AU - Ghaida Muttashar Abdulsahib AU - Osamah Ibrahim Khalaf AU - Zelalem Meraf PY - 2022 JO - Advances in Materials Science and Engineering DO - 10.1155/2022/4905115 UR - https://doi.org/10.1155/2022/4905115 ER -
APA
Hamad, A. A., Jaber, M. M., Ahmed, M. A., Abdulsahib, G. M., Khalaf, O. I., & Meraf, Z. (2022). Using Convolutional Neural Networks for Segmentation of Multiple Sclerosis Lesions in 3D Magnetic Resonance Imaging. Advances in Materials Science and Engineering. https://doi.org/10.1155/2022/4905115
Source records
- crossref · retrieved 2026-09-25T02:18:01.555Z