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. Artificial Neural Network with an input layer representing the Image texture parameters and an output layer representing the classification results were used.
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