Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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S.Satheesh
Magnetic Resonance Imaging (MRI) is a significant imaging technology for brain tumor diagnosis because physicians can identify precise pathologies by studying the variations of tissue characteristics that occurs in various kinds of MR brain images. Segmentation of MRI is a preprocess in determining the volume of different brain tissues, but here tumor detection is of primary concern. We proposed a method to extract tumors as seen through MR brain images using coclustering and morphological operations and its volume estimation was done by Cavalier’s estimator of morphometric volume method. Quantitative analysis showed that the proposed method yielded better results in comparison with Fuzzy C-Means algorithm (FCM).
S.Satheesh. 2012. \u201cTumor Extraction and Volume Estimation for T1-Weighted Magnetic Resonance Brain Images\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D12): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 113
Country: India
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: S.Satheesh, Dr.K.V.S.V.R Prasad, Dr. K. Jitender Reddy (PhD/Dr. count: 2)
View Count (all-time): 236
Total Views (Real + Logic): 9748
Total Downloads (simulated): 2564
Publish Date: 2012 12, Sat
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Neural Networks and Rules-based Systems used to Find Rational and
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Magnetic Resonance Imaging (MRI) is a significant imaging technology for brain tumor diagnosis because physicians can identify precise pathologies by studying the variations of tissue characteristics that occurs in various kinds of MR brain images. Segmentation of MRI is a preprocess in determining the volume of different brain tissues, but here tumor detection is of primary concern. We proposed a method to extract tumors as seen through MR brain images using coclustering and morphological operations and its volume estimation was done by Cavalier’s estimator of morphometric volume method. Quantitative analysis showed that the proposed method yielded better results in comparison with Fuzzy C-Means algorithm (FCM).
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