Medical Image Classification and Symptoms Detection Using Neuro Fuzzy : ANFIS Based Classification and Tumor Detection of The Brain Medical Image

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

3846583545 / 9783846583548

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - The conventional method in medicine for brain MR images classification and tumor detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. MR images also always contain a noise caused by operator performance which can lead to serious inaccuracies classification. The use of artificial intelligent techniques, for instance, neural networks, fuzzy logic, neuro fuzzy have shown great potential in this field. Hence, in this project the neuro fuzzy system or ANFIS was applied for classification and detection purposes. Decision making was performed in two stages: feature extraction using the principal component analysis (PCA) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares method. The performance of the ANFIS classifier was evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS classifier has potential in detecting the tumors.…

Seller Inventory # 9783846583548

Title
Medical Image Classification and Symptoms Detection Using Neuro Fuzzy : ANFIS Based Classification and Tumor Detection of The Brain Medical Image
Author
Mohd Ariffanan Mohd Basri
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3846583545
ISBN 13
9783846583548
Item weight
197 grams
Dimensions
220x150x8 mm

AHA-BUCH GmbH

Einbeck, Germany

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