Prediction of Pneumonia using Hybrid Deep CNN and ML Classifiers-Reference-Cited by-同舟云学术

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Prediction of Pneumonia using Hybrid Deep CNN and ML Classifiers

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
language:
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Author:

Jyothi G. Divya¹,Shirisha N.¹,Subhahan D. Abdus²,Rashmi K.³,Hemanthi K.⁴

Affiliation:

1. MLR Institute of Technology,Computer Science and Engineering,Hyderabad,India,500043

2. B V RAJU Institute of Technology,Computer Science and Engineering,Narsapur,502313

3. Computer Science and Engineering Institute of Aeronautical Engineering,Hyderabad,India,500043

4. MLR Institute of Technology,Computer Science and Engineering(AIML),Hyderabad,India,500043

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142228/10142218/10142845.pdf?arnumber=10142845

Reference12 articles.

1. Pneumonia Detection Using an Improved Algorithm Based on Faster R-CNN

2. A Survey on Deep Learning Advances and Emerging Issues in Pneumonia and COVID19 Prediction

3. Pneumonia Detection with Deep Convolutional Architecture

4. A Federated Learning Approach to Pneumonia Detection

5. Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans

Cited by 1 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. Prediction of Pneumonia from 3D CT Images Employing Deep Neural Network based Feature Extraction Method;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

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