Paper Title
Investigating Role of Image Processing in Health Care for Brain Tumor Detection
Article Identifiers
Registration ID: IJNRD_183292
Published ID: IJNRD2210013
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Keywords
Image Processing, Deep Learning, Brain tumor Detection, edge detection, edge extraction, canny edge detection.
Abstract
Deep learning technologies were used to enhance the diagnosis of brain tumors. To be sure, advancements in deep learning and tumor identification have been made. It was decided to enhance an already existing deep learning system for the diagnosis of brain cancers by includes edge detection. Pre-trained networks significantly reduce the amount of time required to find a tumor. Deep learning was used to prepare the MRI images for use. According to a dataset created in deep learning, the brain is shaped like a wall clock. Tumors may be easier to detect because of their dish-like shape. After edge detection, deep learning and reinforcement learning are used for the identification of brain cancers. To arrive at this result, new findings and features were compared to those of past study. Because of present research constraints, identifying brain cancers is very difficult. This assessment might serve as a starting point for additional research into the matter at hand. It has been shown that system edge detection is essential to boosting productivity. Finally, the detection and extraction of edges, as well as the functioning mechanism and the different types, have all been detailed in depth. The research's next stages have been put forth. There have been discussions concerning the challenges in diagnosing brain cancers in light of current research constraints.
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How To Cite (APA)
Mrs Pragati & Dr. Banita (October-2022). Investigating Role of Image Processing in Health Care for Brain Tumor Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(10), 83-89. https://ijnrd.org/papers/IJNRD2210013.pdf
Issue
Volume 7 Issue 10, October-2022
Pages : 83-89
Other Publication Details
Paper Reg. ID: IJNRD_183292
Published Paper Id: IJNRD2210013
Research Area: Engineering
Author Type: Indian Author
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2210013.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2210013
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