ItemBook Chapter

A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection

Title
A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection
Creator
Jenefa, J.; Vetriveeran, Divya; Sambandam, Rakoth Kandan; Vinodha, D.; Thaiyalnayaki, S.; Karthikeyan, P.
Description
Pneumonia damages the lungs and results in swelling and fluid build-up in the air sacs, a major problem that can be assessed using AI techniques. Rapid detection is very important for timely treatment and effective medical care. Chest X-ray imaging stands out as a forefront diagnostic modality for pneumonia, owing to its non-invasive characteristics, cost-effectiveness, and ubiquitous accessibility across many medical facilities. A large volume of data, which can be used to generate medical intelligence, is being collected daily. In recent years, CNNs have exhibited exceptional efficacy in diverse medical image-processing endeavors; X-ray images of the chest play a pivotal role, particularly in diagnosing pneumonia. In CNN architectures, AlexNet and ResNet emerge as the frequently utilized and effective models for various medical problems and diagnoses. As a result, our research involves a comparative analysis of how well AlexNet and ResNet perform in identifying pneumonia. According to our experimental results, ResNet outperforms AlexNet regarding effective classification parameters. 2025 Scrivener Publishing LLC.
Source
Environmental Monitoring Using Artificial Intelligence;pp.225-250
Date
01-01-2025
Publisher
wiley
Subject
AlexNet; CNN; pneumonia detection; ResNet
Coverage
Jenefa J., CHRIST (Deemed to be University), Bangalore, India; Vetriveeran D., CHRIST (Deemed to be University), Bangalore, India; Sambandam R.K., CHRIST (Deemed to be University), Bangalore, India; Vinodha D., CHRIST (Deemed to be University), Bangalore, India; Thaiyalnayaki S., Bharath Institute of Higher Education and Research, Chennai, India; Karthikeyan P., National Chung Cheng University, Chiayi, Taiwan
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-139427039-2; 978-139427036-1;
Format
online
Language
English
Type
Book chapter

Citation

Jenefa, J.; Vetriveeran, Divya; Sambandam, Rakoth Kandan; Vinodha, D.; Thaiyalnayaki, S.; Karthikeyan, P., “A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23907.

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