International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-9,Issue-1  ( May, 2021 )
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Jul. 2022
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
Issue Published : 17
Paper Published : 198
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  Journal Paper


Paper Title :
Automated Brain Tumor Detection Using Back Propagation Neural Network

Author :Sushma V. Telrandhe, Divya Chikate, Pooja Banode

Article Citation :Sushma V. Telrandhe ,Divya Chikate ,Pooja Banode , (2015 ) " Automated Brain Tumor Detection Using Back Propagation Neural Network " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 1-4, Volume-3,Issue-1

Abstract : Brain tumor is one of the most serious disease occurring among the human beings. This paper describes the proposed strategy to detect & extraction of brain tumor from MRI scan images of the brain. The proposed method is based on back prapogation neural network technique for the classification of MRI image. In particular, it has been developed using image enhancement, segmentation, registration, feature extraction & recognition techniques .In segmentation process it includes the morphological operations and thresholding processs and in neural network technique it performs the training and the testing of imageand it gives the result that the tumor is present or not. Keywords- MRI Image Data Set, Image Segmentation, Neural Network Technique, Brain Tumor Detection.

Type : Research paper

Published : Volume-3,Issue-1


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