Detection Of Alzheimer's Disease Using Deep Learning

Detection Of Alzheimer's Disease Using Deep Learning

Registration ID: IJNRD_196153

Published ID: IJNRD2305538

DOI: Click Here to Get

Adithya Dinesh , Abhithesh Ramachandran , Dr.Rejeesh Rayaroth , Aswan Krishnan , Hemanth Suresh

Alzheimer's disease, Ailment, Convolutional Neural Networks, Magnetic Resonance Imaging.

Millions of individuals throughout the world are afflicted with the progressive neurological ailment known as Alzheimer's disease. For Alzheimer's disease to be effectively treated and managed, early diagnosis is essential. . The ability of convolutional neural networks (CNNs) to identify Alzheimer's disease from medical pictures has shown considerable promise. CNN is a deep learning method that is frequently employed for pattern identification and picture analysis. In this approach, a CNN-based method for exploiting Magnetic Resonance Imaging (MRI) data to identify Alzheimer's disease is used. The dataset of MRI scans from people with Alzheimer's disease and healthy people are collected. To improve the picture quality and lower noise, the MRI scans undergo pre-processing. A CNN model is trained using the pre-processed pictures, and it is then tuned using fine-tuning methods. This CNN-based method for Alzheimer's disease detection may help doctors identify the condition early and begin therapy. The adoption of CNN models for Alzheimer's disease detection can increase diagnostic precision and lower visual interpretation variability. The method can assist in decreasing the expense and time involved in MRI scan interpretation, making it a more effective and economical method for detecting Alzheimer's disease.

Published Paper   E-Certificate

"Detection Of Alzheimer's Disease Using Deep Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.f187-f190, May-2023, Available :https://ijnrd.org/papers/IJNRD2305538.pdf

Volume 8 Issue 5, May-2023

Pages : f187-f190

Paper Reg. ID: IJNRD_196153

Published Paper Id: IJNRD2305538

Downloads: 000121102

Research Area: Engineering

Country: Hosabettu, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305538.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305538

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

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