IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 95

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Investigating Role of Image Processing in Health Care for Brain Tumor Detection
Authors Name: Mrs Pragati , Dr. Banita
Download E-Certificate: Download
Author Reg. ID:
IJNRD_183292
Published Paper Id: IJNRD2210013
Published In: Volume 7 Issue 10, October-2022
DOI:
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.
Keywords: Image Processing, Deep Learning, Brain tumor Detection, edge detection, edge extraction, canny edge detection.
Cite Article: "Investigating Role of Image Processing in Health Care for Brain Tumor Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 10, page no.83-89, October-2022, Available :http://www.ijnrd.org/papers/IJNRD2210013.pdf
Downloads: 000118756
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
Publication Details: Published Paper ID:IJNRD2210013
Registration ID: 183292
Published In: Volume 7 Issue 10, October-2022
DOI (Digital Object Identifier):
Page No: 83-89
Country: -, -, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2210013
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2210013
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD