Original contributionMonitoring brain tumor response to therapy using MRI segmentation
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2012, Medical Image AnalysisCitation Excerpt :The state-of-the-art validation approach of automatic methods for segmentation and internal classification of brain tumors is based on comparing the results with a manually delineated ground truth at a single time point. Previous studies of brain tumor follow-up have focused on clinical and therapeutic aspects (Vaidyanathanab et al., 1997; Correa et al., 2008) while serial screening as a validation and quantification approach for automatic tumor segmentation has not gained much attention. In this paper we describe an automatic method for the segmentation, internal classification and follow-up of OPG from multi-sequence MRI datasets.
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2011, Applied Soft Computing JournalCitation Excerpt :Reddick et al. [12] present an automated segmentation and classification scheme for multi-spectral MR images using artificial neural network. A knowledge based technique [16] is used for brain tumor segmentation. Genetic Algorithm (GA) based system is proposed for the prediction of future performance of individual stocks [17].
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