Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19.
- DOI
- 10.4103/jmss.jmss_29_22
- Published
- 2023 Jul-Sep
- Container
- Journal of medical signals and sensors
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.4103/jmss.jmss_29_22,
title = {Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19.},
author = {Aghazadeh N and Moradi P and Noras P},
year = {2023},
journal = {Journal of medical signals and sensors},
doi = {10.4103/jmss.jmss_29_22},
url = {https://doi.org/10.4103/jmss.jmss_29_22}
}RIS
TY - JOUR TI - Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19. AU - Aghazadeh N AU - Moradi P AU - Noras P PY - 2023 JO - Journal of medical signals and sensors DO - 10.4103/jmss.jmss_29_22 UR - https://doi.org/10.4103/jmss.jmss_29_22 ER -
APA
N, A., P, M., & P, N. (2023). Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19.. Journal of medical signals and sensors. https://doi.org/10.4103/jmss.jmss_29_22
Source records
- pubmed · retrieved 2026-09-25T03:32:32.236Z