Experimental Analysis of Radioscopy Images based Pneumonia Disease Detection using Improved Neural Network Methodology-Reference-Cited by-同舟云学术

Experimental Analysis of Radioscopy Images based Pneumonia Disease Detection using Improved Neural Network Methodology

Published:2024-07-03 Issue: Volume:10 Page:1-7
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Container-title:2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN)
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Author:

Suneel Sajja¹,Rani B.M.S.²,Begum M. Amina³,Thatipudi Jayendra Gopal⁴,Yadav Ajay Singh⁵,Muthukumaran D.⁶

Affiliation:

1. Institute of Aeronautical Engineering,Department of CSE(Data Science),Hyderabad,Telangana,India

2. Vignan’s Nirula Institute of technology and science for women,Department of ECE

3. Oxford College of Engineering,Department of ECE,Venmani,Tamilnadu,India

4. University of North Texas,Dept. of Computer Science

5. SRM Institute of Science and Technology Delhi-NCR Campus,Department of Mathematics,Ghaziabad,U.P,India

6. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660666/10660641/10660768.pdf?arnumber=10660768

Reference15 articles.

1. An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare

2. Prediction model for pneumonia in primary care patients with an acute respiratory tract infection: role of symptoms, signs, and biomarkers

3. Homomorphic encryption algorithm providing security and privacy for IoT with optical fiber communication

4. Flexibility and Productivity in IoT Programming: A Case Study with Mruby

5. Development and Validation of a Deep Learning Algorithm for Detection of Critical Findings in Head CT Scans;Kang;This is a research paper that describes the development and validation of a deep learning algorithm for detecting critical findings in head CT scans which can also be applied to chest X-rays for pneumonia detection,2018