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This paper introduces Bayesian approach for automated delineation of meningioma brain tumor using post contrast T1 weighted magnetic resonance image. The proposed framework follows the basis of pixel based classification, combination of two stages; feature extraction followed by learning and classification of pixels into desired classes. Both intensity and texture features are extracted. Thereafter,...
The objective of this study is to address quantitative microscopic approach for automated screening of erythrocytes in anaemic cases using scanning electron microscopic (SEM) images of unstained blood cells. Erythrocytes were separated from blood samples and processed for SEM imaging. Thereafter, erythrocytes were segmented using marker controlled watershed transformation technique. Total 47 structural...
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