Exploring the Effectiveness of Optimized Convolutional Neural Network in Transfer Learning for Image Classification: A Practical Approach

Author:

Burri Srinivasa Rao1,Ahuja Sachin2,Kumar Abhishek2,Baliyan Anupam2

Affiliation:

1. Senior Software Engineering Manager Western union,Denver,CO,USA

2. Chandigarh University,Department of CSE,Gharuan,Punjab,India

Publisher

IEEE

Reference18 articles.

1. Transfer Learning with Deep Learning Models for Chest Radiograph Analysis: A Systematic Review;kaur;J Biomed Inform,2022

2. Improved Performance of Transfer Learning-Based CNN for Classification of Alzheimer's Disease;asri;J Med Syst,2021

3. Imagenet: A large-scale hierarchical image database;deng;2009 IEEE Conference on Computer Vision and Pattern Recognition,2009

4. Incorporating Multi-Task Learning with Transfer Learning for Efficient and Accurate Chest Xray Image Classification;alqahtani;Applied Sciences,2021

5. Squeeze-and-Excitation ResNet with Data Augmentation for Small-Sample Image Classification;huang;IEEE Trans Instrum Meas,2021

Cited by 35 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of a Method for Estimating the Angle of Lumbar Spine X-ray Images Using Deep Learning with Pseudo X-ray Images Generated from Computed Tomography;Applied Sciences;2024-04-29

2. Complex Network Analysis with Deep Q- Learning for Predicting Patient Flow in Hospital Systems;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

3. Complexity-Reduced Variational Auto Encoders With Bayesian Optimization for Anomaly Detection in High-Dimensional Medical Data;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

4. Hierarchical Deep Reinforcement Learning with Neural Turing Machines for Treatment Path Optimization;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

5. Distributed Gradient Boosting Machines (DGBM) with Feature Selection via Particle Swarm Optimization for Predicting Disease Progression;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3