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Home / programming language / Online Matlab Projects / A new fusion model for classification of the lung diseases using genetic algorithm
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Matlab Project - DIP, final year projects.
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A new fusion model for classification of the lung diseases using genetic algorithm

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SKU: PROJ7599 Categories: 2017 Projects, Digital Image Processing Projects, Final Year Projects, Online Matlab Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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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 >

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