A Deep Learning Model for Early Prediction of Pneumonia Using VGG19 and Neural Networks-Reference-Cited by-同舟云学术

A Deep Learning Model for Early Prediction of Pneumonia Using VGG19 and Neural Networks

Published:2023 Issue: Volume: Page:597-612
ISSN:2367-3370
Container-title:Mobile Radio Communications and 5G Networks
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Author:

Sharma Shagun,Guleria Kalpna

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7982-8_50

Reference18 articles.

1. Alqudah AM, Qazan S, Masad IS (2021) Artificial intelligence framework for efficient detection and classification of pneumonia using chest radiography images. J Med Biol Eng 41(5):599–609

2. Stokes K, Castaldo R, Federici C, Pagliara S, Maccaro A, Cappuccio F, Pecchia L (2022) The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: a systematic review. Biomed Signal Process Control 72:103325

3. Jaiswal AK, Tiwari P, Kumar S, Gupta D, Khanna A, Rodrigues JJ (2019) Identifying pneumonia in chest X-rays: a deep learning approach. Measurement 145:511–518

4. Sharma S, Guleria K (2022) Deep learning models for image classification: comparison and applications. In: 2nd international conference on advance computing and innovative technologies in engineering (ICACITE), pp 1733–1738

5. Gulati S, Guleria K, Goyal N (2022) Classification and detection of coronary heart disease using machine learning. In: 2nd international conference on advance computing and innovative technologies in engineering (ICACITE), pp 1728–1732

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