Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES
PaperId: :  15081
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-15081
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Banupriya K VJeppiaar Engineering College
Kavya RJeppiaar Engineering College

Abstract

Information technology
Machine learning, Deep learning, DNN, Python
The primary goal of medical imaging is to extract meaningful and accurate information from these images with the least error possible. A system to decide whether the brain has a tumor or not from the MR image using the combined technique of auto stacked encoder methodology. In the first stage, the input image is converted to greyscale using binary thresholding and the spots are detected. The set of features extracted are characterized by using the DNN algorithm, then the tumor recognition is done with fine-tuning. The most efficient and effective algorithms are discussed after studying several relevant research dissertations. Pre-processing brain images, segmenting them, feature extraction and detection of the tumor are the approaches in most researches. These techniques, limitations, and the advantages with further expansion are discussed extensively in the paper. Image Processing is a strategy that changes over the normal Image into advanced structure so as to upgrade the nature of an Image quality which gives valuable data. The different application, for example, report handling, entertainment world, clinical imaging, measurable investigations, distant detecting, and military relies upon the Image processing method.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Banupriya K V, and Kavya R. "BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 1406-1412
MLA Banupriya K V, and Kavya R. "BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 1406-1412.
APA Banupriya K V, & Kavya R. (2021). BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 1406-1412.
Chicago Banupriya K V, and Kavya R. "BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 1406-1412.
Oxford Banupriya K V, and Kavya R. 'BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 1406-1412. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_IDENTIFICATION_AND_CLASSIFICATION_OF_MRI_IMAGES_USING_DEEP_LEARNING_TECHNIQUES_ijariie15081.pdf (Accessed : ).
Harvard Banupriya K V, and Kavya R. (2021) 'BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 1406-1412IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_IDENTIFICATION_AND_CLASSIFICATION_OF_MRI_IMAGES_USING_DEEP_LEARNING_TECHNIQUES_ijariie15081.pdf (Accessed : )
IEEE Banupriya K V, and Kavya R, "BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 1406-1412, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_IDENTIFICATION_AND_CLASSIFICATION_OF_MRI_IMAGES_USING_DEEP_LEARNING_TECHNIQUES_ijariie15081.pdf [Accessed : ].
Turabian Banupriya K V, and Kavya R. "BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 ().
Vancouver Banupriya K V, and Kavya R. BRAIN TUMOR IDENTIFICATION AND CLASSIFICATION OF MRI IMAGES USING DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(4) : 1406-1412. Available from: https://ijariie.com/AdminUploadPdf/BRAIN_TUMOR_IDENTIFICATION_AND_CLASSIFICATION_OF_MRI_IMAGES_USING_DEEP_LEARNING_TECHNIQUES_ijariie15081.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
INTEGRATING THE FLIPPED CLASSROOM MODEL WITH PROJECT-BASED LEARNING IN TEACHING MICROSOFT POWERPOINT: A CASE STUDY AT THE UNIVERSITY OF AGRICULTURE AND FORESTRY, THAI NGUYEN UNIVERSITYEducationNguyen Ngoc Lan Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.