ODQN-Net: Optimized Deep Q Neural Networks for Disease Prediction Through Tongue Image Analysis Using Remora Optimization Algorithm-Reference-Cited by-同舟云学术

ODQN-Net: Optimized Deep Q Neural Networks for Disease Prediction Through Tongue Image Analysis Using Remora Optimization Algorithm

Published:2023-12-01 Issue:6 Volume:11 Page:452-465
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Sreenivasu S.V.N.¹,Santosh Kumar Patra P.²,Midasala Vasujadevi³,Murthy G.S.N.⁴,Janapati Krishna Chaitanya⁵,Swarup Kumar J.N.V.R.⁶,Kumar Pala Mahesh⁷^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Narasaraopeta Engineering College (A), Narasaraopet, India.

2. Department of Computer Science and Engineering, St. Martin's Engineering College (A), Secunderabad, India.

3. Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India.

4. Department of Computer Science and Engineering, Aditya College of Engineering, Surampalem, India.

5. Department of Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, India.

6. Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to be University), Visakhapatnam, India.

7. Department of Artificial Intelligence, SAK Informatics, Hyderabad, India.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.liebertpub.com/doi/pdf/10.1089/big.2023.0014

Reference24 articles.

1. Application of artificial intelligence in tongue diagnosis of traditional Chinese medicine: A review

2. Transparency of deep neural networks for medical image analysis: A review of interpretability methods

3. Prospects of Structural Similarity Index for Medical Image Analysis

4. Deep learning-based facial image analysis in medical research: a systematic review protocol

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