Evaluation of ResNet Architecture’s Performance for Early Brain Infarction Detection-Reference-Cited by-同舟云学术

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Evaluation of ResNet Architecture’s Performance for Early Brain Infarction Detection

Published:2024-02-28 Issue: Volume: Page:609-615
ISSN:
Container-title:2024 11th International Conference on Computing for Sustainable Global Development (INDIACom)
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Author:

Bajaj Shilpa¹,Bala Manju²,MohitAngurala ³

Affiliation:

1. I.K. Gujral Punjab Technical University,Department of Computer Applications,Kapurthala,India

2. Khalsa College of Engineering and Technology,Department of CSE,Amritsar,India

3. Chandigarh University,School of CSE Apex Institute of Technology (CSE),Mohali,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498128/10498148/10498838.pdf?arnumber=10498838

Reference22 articles.

1. Deep Residual Learning for Image Recognition: A Survey

2. Deep Residual Learning for Image Recognition

3. Automatic Digital Modulation Classification Based on Curriculum Learning

4. Evaluating the Performance of ResNet Model Based on Image Recognition

5. Convolutional Networks with Dense Connectivity

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