Exploring the Experimental Effectiveness of a Hybrid Deep Learning Approach in Detecting Thyroid Disease using Intelligent Predictions-Reference-Cited by-同舟云学术

Exploring the Experimental Effectiveness of a Hybrid Deep Learning Approach in Detecting Thyroid Disease using Intelligent Predictions

Published:2024-04-26 Issue: Volume: Page:1-5
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Container-title:2024 International Conference on Computing and Data Science (ICCDS)
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Author:

Anitha K.¹,Lavanya V.²,Chitra P.³,Valarmathy A. S.⁴,Alekhya Badi⁵,P Ragini Y⁶

Affiliation:

1. Saveetha Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College,Department of CSE,Chennai,Tamil Nadu,India

3. St joseph's institute of technology,Department of Artificial Intelligence and Date Science,Chennai,Tamil Nadu,India

4. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

5. R.M.D Engineering College,Department of AIML,Chennai,Tamil Nadu,India

6. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS),Department of Biosciences,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

Reference13 articles.

2. Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies;R,2021