Performance Evaluation of Different Optimizers on Alzheimer’s Disease Classification Using a Customized Convolutional Neural Network

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

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Publication Details

Journal
Journal of Image and Graphics
Published
2025-01-01
DOI
https://doi.org/10.18178/joig.13.4.362-379
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
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article

Performance Evaluation of Different Optimizers on Alzheimer’s Disease Classification Using a Customized Convolutional Neural Network

Pallavi Saikia
Journal of Image and Graphics
Brain Tumor Detection and Classification
article

Performance Evaluation of Different Optimizers on Alzheimer’s Disease Classification Using a Customized Convolutional Neural Network

Pallavi Saikia
article en

Abstract

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Journal of Image and GraphicsVol. 13(4)
Openalex Percentile: Top 78%
Brain Tumor Detection and Classification
DOIOpen Access PDFOpenAlex
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Performance Evaluation of Different Optimizers on Alzheimer’s Disease Classification Using a Customized Convolutional Neural Network — Pallavi Saikia · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS