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DETERMINING THE LOCATION AND SIZE OF THE BRAIN TUMOR WITH 3D SLICER

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dc.contributor.author Bhatt, Roshan K
dc.contributor.author Patra, Prabir
dc.date.accessioned 2022-04-05T23:11:39Z
dc.date.available 2022-04-05T23:11:39Z
dc.date.issued 2022-04-05
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4543
dc.description.abstract Cancer is the leading cause of death in both developed and developing countries. Brain and other central nervous system (CNS) tumors are among the most fatal cancers and account for substantial morbidity and mortality in the United States. Brain tumors account for 85% to 90% of all primary central nervous system (CNS) tumors. Worldwide, an estimated 308,102 people were diagnosed with a primary brain or spinal cord tumor in 2020. Detection of brain tumors on MR images is a time-consuming and laborious task performed by radiologists and doctors. Efforts have been made to develop automated systems to assist physicians in tumor detection and diagnosis and treatment planning. Our aim here is to make the tumor tissue easier to detect by labeling and thresholding the brain MR image. en_US
dc.language.iso en en_US
dc.subject Brain tumors en_US
dc.subject 3D slicer en_US
dc.subject Central nervous system en_US
dc.subject Magnetic resonance imaging en_US
dc.title DETERMINING THE LOCATION AND SIZE OF THE BRAIN TUMOR WITH 3D SLICER en_US
dc.type Other en_US
dc.institute.department Department of Biomedical Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day 2022 en_US


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