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Ahmed, F., Sharmin, P., Shahriar, B. and Sarwar, S. (2012) An Improved Image Denoising and Segmentation Approach for Detecting Tumor from 2-D MR Brain Images. IEEE 2012.

has been cited by the following article:

• TITLE: A Novel Approach for Brain Tumor Detection Using MRI Images

  AUTHORS: Abd El Kader Isselmou, Shuai Zhang, Guizhi Xu

  KEYWORDS: MRI, Threshold Segmentation, Morphological Operations, Tumor Identification, Filters

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.9 No.10B, September 23, 2016

  ABSTRACT: Processing magnetic resonance images are very complex and constantly studied by the researchers to give doctors better ability to diagnose the patients. In order to detect automatically suspicious regions or tumors, we present a new approach inspired by threshold segmentation and based on morphological operations in this paper. The advantages of our approach come from the complementarities between these two approaches. The morphological operations extract roughly the tumor region and eventually can affect healthy while the threshold segmentation method gives a clear picture of the structure of the different brain and therefore these two approaches improve significantly the threshold segmentation and detection and extraction of the tumor zone based on morphological operations.