Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances-Reference-Cited by-同舟云学术

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Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

Published:2024-03-15 Issue: Volume:53 Page:1-7
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
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Author:

Dinesh Kumar R.T.¹,U Mamrith¹,Raj F D Joy Vimal¹,Krishnan K Gokula¹

Affiliation:

1. K S Rangasamy College of Technology,Department of Information Technology,Tamilnadu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531297/10531303/10531441.pdf?arnumber=10531441

Reference10 articles.

1. PC assisted in the diagnosis of mental cancer by using innovative characterization techniques;Paul;Journal of Surrounding Intelligence Adapted Computing,2020

2. Early identification of Alzheimers sickness utilizing patient neuropsychological and mental information and AI methods;Almubark

3. Identifying mild mental impairment and mild Alzheimers disease in light of unrestricted speech using ASR and phonetic components;Gosztolya;Comput. Discourse Lang.,2021

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