CNN-Fuzzy Rule Based System for Classifying Medical Imaging Process

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M. Vijaya, A. Aruna

Abstract

Diagnosing medical data could be done through an expert physician or by radiologists, Evolving artificial intelligence support in decision systems in order to diagnose medical data including textual and images. In this paper, the convolutional neural network and fuzzy rule based system has been proposed. Detection and classification risk of brain tumor is considered for the diagnosis. Finding tumor and tumor risk is essential and crucial with a computer-aided system.Magnetic resonance imaging (MRI) is a technique in the medical fieldĀ  to get a detailed image of internal organs of the human body using the magnetic field. Brain tumor imaging could be done using the techniques Computed tomography and MRI and Convolution Neural Network, a popular deep learning technique that performs an excellent result recently in image classification and fuzzy rule-based method is used to analyze the risk of tumor.

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