Mohsin Ahmed

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|This paper describes the application of fuzzy set theory in medical imaging, namely the segmentation of brain images. We propose a fully automatic technique to obtain image clusters. A modi ed fuzzy c-mean (FCM) classi cation algorithm is used to provide a fuzzy partition. Our new method, inspired from the Markov Random Field (MRF), is less sensitive to(More)
Purpose: The purpose of this study was to quantify the failure rate of AP tests (speech and non-speech) and to measure the APD diagnosis rate using four different diagnostic criteria in a large sample of participants previously assessed for APD. Methods: Data were collected retrospectively from the medical record review of 117 participants (Male = 64,(More)
Accuracy of segmentation methods is of great importance in brain image analysis. Tissue classification in Magnetic Resonance brain images (MRI) is an important issue in the analysis of several brain dementias. This paper reviews the performance of segmentation techniques that are used on Brain MRI. A large variety of algorithms for segmentation of Brain MRI(More)