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Home / programming language / Online Matlab Projects / Web Based Diagnostic Classifier System for Kidney Lesions using Image Texture Parameters
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Web Based Diagnostic Classifier System for Kidney Lesions using Image Texture Parameters

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SKU: PROJ8429 Categories: 2018 Projects, Digital Image Processing Projects, Online Matlab Projects 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, Matlab Project, PHP Project, Students Projects
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Web Based Diagnostic Classifier System for Kidney Lesions using Image Texture Parameters

Abstract-Medical Informatics comprises the theoretical and practical aspects ofinformation processing and communication, based on knowledge and experience derived from processes in medicine and health care. Telemedicine can be defined as the use of telecommunications technologies to facilitate healthcare delivery. Ultrasound imaging is a powerful tool for characterizing the state of soft tissues; however, in some cases, where only subtle differences in images are seen as in certain kidney lesions, existing B-scan methods are inadequate. With this idea, an attempt has been made in this paper for in-vivo differentiation of normal and kidney lesions using image texture parameters of ultrasound B-scan image and classification using Web based classifier. A set of 12 Image texture parameters were computed for ultrasonic scanned images of kidney. The back propagation algorithm trains a given feed forward multilayer neural network for a given set of input patterns with known classifications. The MATLAB’s web server toolbox and Neural Network toolbox were used for analyzing and classification. In the web based medical information system developed, the remote user can submit the ultrasound B-scan image using the Web Browser and the remote user will receive the diagnosis result in the desk using the Internet which is explained in the paper.

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