Enhancing Medical Image-Based Diagnostics Through the Application of Convolutional Neural Networks Techniques-Reference-Cited by-同舟云学术

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Enhancing Medical Image-Based Diagnostics Through the Application of Convolutional Neural Networks Techniques

Published:2024-04-26 Issue: Volume:13 Page:1-6
ISSN:
Container-title:2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

Byeon Haewon¹,Nair Rajit²,Mahalakshmi V.³,Khalaf Mohammed I.⁴,Kaushik Bharat⁵,Shabaz Mohammad⁶

Affiliation:

1. Inje University,Department of AI and Software,Gimhae,Republic of Korea,50834

2. School of Computing Science & Engineering, VIT Bhopal University,Bhopal,India

3. College of Engineering and computer science, Jazan University,Department of Computer Science,Jazan,Saudi Arabia,45142

4. Al Maarif University College,Department of computer science,Al Anbar,Iraq,31001

5. Masters University of Northern Iowa,Lowa,USA

6. Model Institute of Engineering and Technology,Jammu,J&K,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548017/10548035/10548500.pdf?arnumber=10548500

Reference19 articles.

1. A Novel Virtual Sample Generation Method to Overcome the Small Sample Size Problem in Computer Aided Medical Diagnosing

2. The Art of Data Augmentation

3. Histopathological image classification using dilated residual grooming kernel model

4. Agricultural plant diseases identification: From traditional approach to deep learning

5. A Lightweight Hybrid Dilated Ghost Model-Based Approach for the Prognosis of Breast Cancer

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