Classification of Paediatric Pneumonia Using Modified DenseNet-121 Deep-Learning Model-Reference-Cited by-同舟云学术

Classification of Paediatric Pneumonia Using Modified DenseNet-121 Deep-Learning Model

Published:2024 Issue: Volume:12 Page:35716-35727
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Arulananth T. S.¹^ORCID,Prakash S. Wilson²^ORCID,Ayyasamy Ramesh Kumar³^ORCID,Kavitha V. P.⁴^ORCID,Kuppusamy P. G.⁵^ORCID,Chinnasamy P.⁶^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India

2. Department of Data Science and Business Systems, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

3. Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Kampar, Malaysia

4. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, India

5. Department of Electronics and Communication Engineering, Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh, India

6. Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India

Funder

Universiti Tunku Abdul Rahman (UTAR), Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10452342.pdf?arnumber=10452342

Reference28 articles.

1. Childhood Pneumonia: What’s Unchanged, and What’s New?

2. The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review

3. A Robust System for Detection of Pneumonia Using Transfer Learning

4. Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images

5. Pneumonia Detection Using Deep Learning Based Feature Extraction and Machine Learning

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