Artificial Neural Network Fuzzy Inference System (ANFIS) For Brain Tumor Detection

Minakshi Sharma

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arXiv · 1212.0059

Artificial Neural Network Fuzzy Inference System (ANFIS) For Brain Tumor Detection

Minakshi Sharma

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Abstract

Detection and segmentation of Brain tumor is very important because it provides anatomical information of normal and abnormal tissues which helps in treatment planning and patient follow-up. There are number of techniques for image segmentation. Proposed research work uses ANFIS (Artificial Neural Network Fuzzy Inference System) for image classification and then compares the results with FCM (Fuzzy C means) and K-NN (K-nearest neighbor). ANFIS includes benefits of both ANN and the fuzzy logic systems. A comprehensive feature set and fuzzy rules are selected to classify an abnormal image to the corresponding tumor type. Experimental results illustrate promising results in terms of classification accuracy. A comparative analysis is performed with the FCM and K-NN to show the superior nature of ANFIS systems.

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BibTeX RIS

Minakshi Sharma. 2012-12-01. Artificial Neural Network Fuzzy Inference System (ANFIS) For Brain Tumor Detection. https://arxiv.org/abs/1212.0059

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