Tumor Classification using Block wise fine tuning and Transfer learning of Deep Neural Network and KNN classifier on MR Brain Images

2020 ◽  
Vol 8 (2) ◽  
pp. 574-583
Author(s):  
Anilkumar B
Keyword(s):  
Neural Network ◽  
Transfer Learning ◽  
Deep Neural Network ◽  
Tumor Classification ◽  
Fine Tuning ◽  
Brain Images ◽  
Knn Classifier ◽  
Mr Brain Images ◽  
Mr Brain

Labeling of MR brain images using Boolean neural network

1996 ◽  
Vol 15 (5) ◽  
pp. 628-638 ◽  
Author(s):  
Xiaohong Li ◽  
S. Bhide ◽  
M.R. Kabuka
Keyword(s):  
Neural Network ◽  
Brain Images ◽  
Mr Brain Images ◽  
Mr Brain

scholarly journals Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

2016 ◽  
Vol 35 (5) ◽  
pp. 1252-1261 ◽  
Author(s):  
Pim Moeskops ◽  
Max A. Viergever ◽  
Adrienne M. Mendrik ◽  
Linda S. de Vries ◽  
Manon J. N. L. Benders ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Automatic Segmentation ◽  
Brain Images ◽  
Mr Brain Images ◽  
Mr Brain

scholarly journals Brain Tumor identification by Convolution Neural Network with Fuzzy C-mean Model Using MR Brain Images

2021 ◽  
Vol 14 ◽  
pp. 1096-1102
Author(s):  
Abd El Kader Isselmou ◽  
Guizhi Xu ◽  
Zhang Shuai ◽  
Sani Saminu ◽  
Imran Javaid ◽  
...  
Keyword(s):  
Neural Network ◽  
Brain Tumor ◽  
Convolution Neural Network ◽  
Brain Images ◽  
Proposed Model ◽  
Tumor Identification ◽  
Mr Brain Images ◽  
Sensitivity Specificity ◽  
The Brain ◽  
Mr Brain

Medical image computing techniques are essential in helping the doctors to support their decision in the diagnosis of the patients. Due to the complexity of the brain structure, we choose to use MR brain images because of their quality and the highest resolution. The objective of this article is to detect brain tumor using convolution neural network with fuzzy c-means model, the advantage of the proposed model is the ability to achieve excellent performance using accuracy, sensitivity, specificity, overall dice and recall values better than the previous models that are already published. In addition, the novel model can identify the brain tumor, using different types of MR images. The proposed model obtained accuracy with 98%.

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