Enhancing Pneumonia Classification Performance through CNN Architecture Optimization and Hyperparameter Tuning

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Publication Details

Journal
Journal of Image and Graphics
Published
2025-01-01
DOI
https://doi.org/10.18178/joig.13.3.286-292
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Pneumonia Classification Performance through CNN Architecture Optimization and Hyperparameter Tuning

Journal of Image and Graphics
COVID-19 diagnosis using AI
article

Enhancing Pneumonia Classification Performance through CNN Architecture Optimization and Hyperparameter Tuning

article en

Abstract

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Journal of Image and Graphics
Openalex Percentile: Top 79%
COVID-19 diagnosis using AI
DOIOpen Access PDFOpenAlex
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Enhancing Pneumonia Classification Performance through CNN Architecture Optimization and Hyperparameter Tuning · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS