A new fusion model for classification of the lung diseases using genetic algorithm
Product Description
A new fusion model for classification of the lung
diseases using genetic algorithm
Abstract— Automatic classification of lung diseases in computed tomography (CT) images is an
important diagnostic tool for computer-aided diagnosis system. In this study, we propose a new image based feature extraction technique for classification of lung CT images. A novel fusion based method was developed by combining the Gabor filter and Walsh Hadamard transform features using median absolute deviation (MAD) technique and hence, it possesses the advantages of both models. The proposed system comprises of three stages. In the first stage, the images are preprocessed and features are extracted by novel fusion based feature extraction technique, followed by
second stage, in which extracted features are selected by applying genetic algorithm which selects the top ranked features.< final year projects >
Including Packages
Our Specialization
Support Service
Statistical Report
satisfied customers
3,589
Freelance projects
983
sales on Site
11,021
developers
175+
Additional Information
| Domains | |
|---|---|
| Programming Language |
