Read Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM

Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM

Mubashir Tariq

4.9/5 (31635 ratings)

Description:In the domain of Medical Image Analysis (MIA), it is difficult to perform brain tumor classification. With the help of machine learning technology and algorithms, brain tumor can be easily diagnosed by the radiologists without practicing any surgical approach. In the previous few years, remarkable progress has been observed by deep learning techniques in the domain of MIA. Although, the classification of brain tumor through Magnetic Resonance Imaging (MRI) has seen multiple problems: 1) the structure of brain and complexity of brain tissues; 2) deriving the classification of brain tumor due to brain’s nature of high-density. To study the classification of brain tumor; inculcating the normal and abnormal MRI, this study has designed a blended method by using Neutrosophic Super Resolution (NSR) with Fuzzy-C-Means (FCM) and Convolutional Neural Network (CNN).Initially, non-local mean filtered MRI provided Neutrosophic Super Resolution (NSR) image, however, for enhancement of clustering and simulation of the brain tumor along with the reduction of time consumption, efficiency and accuracy without any technical hindrance Support vector Machine (SVM) guided FCM was applied. Consequently, the recommended method resulted in an excellent performance with 98.12%, 98.2% of average success about sensitivity and 1.8% of error rate brain tumor image.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM. To get started finding Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 24

Format: PDF, EPUB & Kindle Edition

Publisher: Infinite Study

Release: 2022

ISBN: xpsLEQAAQBAJ

Description: In the domain of Medical Image Analysis (MIA), it is difficult to perform brain tumor classification. With the help of machine learning technology and algorithms, brain tumor can be easily diagnosed by the radiologists without practicing any surgical approach. In the previous few years, remarkable progress has been observed by deep learning techniques in the domain of MIA. Although, the classification of brain tumor through Magnetic Resonance Imaging (MRI) has seen multiple problems: 1) the structure of brain and complexity of brain tissues; 2) deriving the classification of brain tumor due to brain’s nature of high-density. To study the classification of brain tumor; inculcating the normal and abnormal MRI, this study has designed a blended method by using Neutrosophic Super Resolution (NSR) with Fuzzy-C-Means (FCM) and Convolutional Neural Network (CNN).Initially, non-local mean filtered MRI provided Neutrosophic Super Resolution (NSR) image, however, for enhancement of clustering and simulation of the brain tumor along with the reduction of time consumption, efficiency and accuracy without any technical hindrance Support vector Machine (SVM) guided FCM was applied. Consequently, the recommended method resulted in an excellent performance with 98.12%, 98.2% of average success about sensitivity and 1.8% of error rate brain tumor image.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM. To get started finding Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM

Brain Tumor Classification Using Convolutional Neural Network with Neutrosophy, Super-Resolution and SVM

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