This repository contains a Convolutional Neural Network (CNN) model for detecting pneumonia in chest X-ray images. The model is trained on the Chest X-ray Images dataset obtained from Kaggle. The goal is to assist in the automated diagnosis of pneumonia from chest X-ray scans.
The dataset used in this project is the Chest X-ray Images (Pneumonia) dataset from Kaggle. It consists of chest X-ray images categorized into normal and pneumonia cases. Please make sure to download and use the dataset in accordance with the licensing terms provided by Kaggle.
The CNN model is designed to analyze chest X-ray images and classify them as either normal or pneumonia cases. The architecture of the model includes 3 Convoluntional Layers, 3 Pooling Layers and 1 Flatten and 2 fully connected dense layers.
You can also check out this Notebook on Kaggle using following link: https://www.kaggle.com/code/sharduljoshi29/pneumonia-classification-using-cnn/notebook