An improved approach for early diagnosis of Parkinson’s disease using advanced DL models and image alignment-Reference-Cited by-同舟云学术

An improved approach for early diagnosis of Parkinson’s disease using advanced DL models and image alignment

Published:2024-03-11 Issue:3 Volume:65 Page:911-924
ISSN:0005-1144
Container-title:Automatika
language:en
Short-container-title:Automatika

Author:

Kanagaraj S.¹,Hema M.S.²,Guptha M. Nageswara³

Affiliation:

1. Department of Information Technology, Kumaraguru College of Technology, Coimbatore, India

2. Department of Information Technology, Anurag University Medchal, Hyderabad, India

3. Computer Science and Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00051144.2023.2284030

Reference35 articles.

1. Deep learning‐based scheme to diagnose Parkinson's disease

2. Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia

3. New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease;Gupta R;Ageing Res Rev,2023

4. Role of artificial intelligence techniques and neuroimaging modalities in detection of Parkinson’s disease: a systematic review;Aggarwal N;Cognit Comput,2023

5. Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson’s disease

Cited by 2 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. Gender variability in machine learning based subcortical neuroimaging for Parkinson’s disease diagnosis;Applied Computing and Informatics;2024-07-25

2. SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection;Frontiers in Computational Neuroscience;2024-06-12