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An Efficient Brain Tumor Detection Algorithm based on Segmentation for MRI System

An Efficient Brain Tumor Detection Algorithm based on Segmentation for MRI System

A collection, or mass, of abnormal cells in the brain is called as Brain Tumor . The skull, which encloses your brain, is very rigid. Growth inside such a restricted space can cause problems. Brain tumors can be malignant or benign. Segmentation in magnetic resonance imaging MRI was an emergent research area in the field of medical imaging system. In this an efficient algorithm is proposed for tumor detection based on segmentation and morphological operators. Quality of scanned image is enhanced and then morphological operators are applied to detect the tumor in the scanned image. Merlin Asha. M | G. Naveen Balaji | S. Mythili | A. Karthikeyan | N. Thillaiarasu "An Efficient Brain Tumor Detection Algorithm based on Segmentation for MRI System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-2 , February 2018, URL: https://www.ijtsrd.com/papers/ijtsrd9667.pdf Paper URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/9667/an-efficient-brain-tumor-detection-algorithm-based-on-segmentation-for-mri-system/merlin-asha-m

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Image Guided Therapy System Market Outlook and Opportunity Analysis 2018-2026

Image Guided Therapy System Market Outlook and Opportunity Analysis 2018-2026

Image guided therapy or image guided interventions help surgeons by navigating the devices inside the body of patients and provides a three dimensional image of the targeted area, making the surgery safer and less invasive. The constant flow of information enables surgeons to plan for surgery, make minute adjustments to treat across various therapeutic areas, including cardiac, vascular, endovascular, pain, trauma, urology, orthopedics, spine, and neurology. Image guided therapy devices also can be potentially used in the treatment of hypertension through renal denervation.

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55 views • 3 slides

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