Impact Factor
Call For Paper
Volume 12 Issue 08
August 2026
Author(s)
Abstract
Pneumonia Is A Severe Lung Infection That Demands Timelyandprecise Diagnosis.This Project Utilizes Convolutional Neural Networks (CNNs) To Detect And Classify Pneumonia From Chest X-ray Images. A Large Dataset Is Used To Train The Model, Ensuring High Accuracy. Image Preprocessing And Augmentation Enhance Detection Performance. The System Effectively Differentiates Between Normal And Infected Lungs. Evaluation Metrics Like Accuracy And F1-score Confirm The Model’s Reliability. This Solution Supports Rapid, Scalable, And Affordable Diagnosis In Medical Settings.
Keywords
Paper ID
IJSARTV11I5103437
Publication Date
May 2, 2025
Research Area
CSE