Lung Cancer Detection System using Machine Learning

Lung Cancer Detection System using Machine Learning Code, Document And Video Tutorial

Youtube link: https://youtu.be/FAwpwldzOq8?si=9oS7FI8ZtDhK2SUq

Abstract:

This project presents a lung cancer detection system using machine learning techniques. The system utilizes computed tomography (CT) scans to train a model that can accurately detect lung cancer. Image processing and feature extraction techniques are employed to enhance image quality and extract relevant features. The performance of various machine learning models, including support vector machines (SVMs), random forests, and neural networks, is evaluated. Experimental results demonstrate the effectiveness of the proposed system in detecting lung cancer at an early stage.

Keywords: Lung Cancer Detection, Machine Learning, Computed Tomography (CT) Scans, Image Processing, Feature Extraction, Support Vector Machines (SVMs), Random Forests, Neural Networks, Cancer Diagnosis, Medical Imaging.

Project include:

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

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