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  • 标题:AUTOMATED BRAIN HEMORRHAGE LESION SEGMENTATION AND CLASSIFICATION FROM MR IMAGE USING AN INNOVATIVE COMPOSITE METHOD
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  • 作者:SUDIPTA ROY ; SANJAY NAG ; SAMIR KUMAR BANDYOPADHYAY
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:78
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Accurate identification of acute hemorrhage is a critical step in planning appropriate therapy. The correct characterization of underlying pathology, such as neoplasia, vascular malformation, or infarction, is equally important for conclusive diagnosis. Computer-aided diagnosis (CAD) systems have been the focus of several research endeavors and it is solely based on the idea of analyzing images of different types of brain hemorrhage by implementing improved image processing algorithms. In this paper, an innovative and automated approach is cited to detect existence of brain hemorrhage in multiple MRI scan images of the brain, the type of hemorrhage and position of the hemorrhage. The implemented algorithm includes several stages such as artifact and skull elimination constituting preprocessing, image segmentation, and hemorrhage localization. The result of the conducted experiments has been compared statistically with reference image showing very promising results.
  • 关键词:Brain; Hemorrhage; MRI; CAD; Hemorrhage Lesion; Image Segmentation; Position of Hemorrhage; Classification
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