A novel technique for classifying Parkinson’s disease using structural MRI scans-Reference-Cited by-同舟云学术

A novel technique for classifying Parkinson’s disease using structural MRI scans

Published:2023-04-27 Issue:29 Volume:82 Page:46011-46036
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Khanna Ketna^ORCID,Gambhir Sapna,Gambhir Mohit

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15302-3.pdf

Reference48 articles.

1. Akanksha J, Bharti R, Agrawal RK (2017) An enhanced texture-based image retrieval approach with features selected from integration of feature extraction techniques. Int J Comput Vis Robot 7(4):357–380. https://doi.org/10.1504/IJCVR.2017.10005388

2. Ali L, Khan SU, Arshad M, Ali S, Anwar M (2019) A multi-model framework for evaluating type of speech samples having complementary information about Parkinson's disease. International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (Swat), pp 1–5. https://doi.org/10.1109/ICECCE47252.2019.8940696

3. Alzubi OA, Alzubi JA, Tedmori S, Rashaideh H, Almomani O (2018) Consensus-based combining method for classifier ensembles. Int Arab J Inf Technol 15(1):76–86

4. Amoroso N et al (2018) Complex networks reveal early MRI markers of Parkinson’s disease. Med Image Anal 48:12–24

5. Athanasios T, Kollias D, Stafylopatis A (2017) Assessment of Parkinson’s disease based on deep neural networks, vol 744. Springer International Publishing AG, pp 391–403

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection of Parkinson’s Disease from T2-Weighted Magnetic Resonance Imaging Scans Using EfficientNet-V2;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13