Paper Title

Investigating Role of Image Processing in Health Care for Brain Tumor Detection

Article Identifiers

Registration ID: IJNRD_183292

Published ID: IJNRD2210013

DOI: Click Here to Get

Authors

Mrs Pragati , Dr. Banita

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.

How To Cite

"Investigating Role of Image Processing in Health Care for Brain Tumor Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 10, page no.83-89, October-2022, Available :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

Downloads: 000121115

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2210013.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2210013

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area