Brain Tumor Detection Based on Convolutional Neural Network with Neutrosophic Expert Maximum Fuzzy Sure Entropy
Download or Read eBook Brain Tumor Detection Based on Convolutional Neural Network with Neutrosophic Expert Maximum Fuzzy Sure Entropy PDF written by Fatih ÖZYURT and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle.
| Author | : Fatih ÖZYURT |
| Publisher | : Infinite Study |
| Total Pages | : 16 |
| Release | : |
| ISBN-10 | : |
| ISBN-13 | : |
| Rating | : 4/5 ( Downloads) |
Book Synopsis Brain Tumor Detection Based on Convolutional Neural Network with Neutrosophic Expert Maximum Fuzzy Sure Entropy by : Fatih ÖZYURT
Book excerpt: Brain tumor classification is a challenging task in the field of medical image processing. The present study proposes a hybrid method using Neutrosophy and Convolutional Neural Network (NS-CNN). It aims to classify tumor region areas that are segmented from brain images as benign and malignant. In the first stage, MRI images were segmented using the neutrosophic set – expert maximum fuzzy-sure entropy (NS-EMFSE) approach.
