ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

AUTOMATED BRAIN TUMOR DETECTION BY USINGMASK R-CNN MODEL

Abstract

Abstract: Medical image analysis and treatment, especially in non-invasive therapy and clinical studies, are of significantimportance in the area of medicine. Techniques and analytical tools for medical imaging allow physicians and radiologists toproperly diagnose the condition. Medical image processing has evolved as one of the main methods for identifying anddiagnosing different aberrations. Imaging allows physicians to examine and analyse pictures of MR to detect anomalies ininterior structures. The medical picture data collected from various biomedical equipment which employ various imagingtechniques including X-rays, CT scans, MRI, mammograms, etc are an essential diagnostic factor. We will create an R-CNNmask model capable of identifying malignancy from brain pictures MRI scans.Keywords: Tumor Detection; Magnetic resonance imaging (MRI); Artificial intelligence (AI); Automated System; Preprocessing, Filtering; computed tomography (CT).

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Paper Submission Open For  July 2021
UGC indexed  2017-2019
Last date for paper submission 30th July, 2021
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