Chest Cancer Classification

Problem Statement:

Early Detection of Chest Cancer using Deep Learning With MLflow experiment tracking and DVC.

Challenge:

Chest cancer is a leading cause of death worldwide. Early detection is crucial for successful treatment. Traditional methods of diagnosis can be time-consuming and prone to human error.

Proposed Solution:

This project aims to develop a machine learning model, specifically a Convolutional Neural Network (CNN), for the early detection of chest cancer using chest X-ray images.

Dataset:

• Link: https://drive.google.com/file/d/1z0mreUtRmR-P-magILsDR3T7M6IkGXtY/view?usp=sharing
• Number of classes: 2
• 1 = Normal
• 0 = Adenocarcinoma Cancer

Project Architecture:

Demo:

CCC_Demo.webm