Mr. Hong-Thai Nguyen Profile

Hong-Thai Nguyen

at National Chung Cheng Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 27 November 2023 Paper

Grade classification of Alzheimer's disease using hyperspectral ophthalmoscope images

Hong-Thai Nguyen, Yu-Ming Tsao, Song-Cun Lu, Hsiang-Chen Wang

Proceedings Volume 12767, 1276707 (2023) https://doi.org/10.1117/12.2688532

KEYWORDS: Hyperspectral imaging, Alzheimer disease, Image classification, Retina, Machine learning, Dementia

Read Abstract +

Detecting Alzheimer’s disease presents considerable challenges in the medical field. Hyperspectral imaging offers a promising approach to identifying the disease by analyzing spectral information from the diseased retina. This study utilized 3,256 ophthalmoscopic images from 137 patients and applied hyperspectral imaging technology to capture spectral data from specific regions within these images. Deep learning models, including ResNet50, Inception v3, GoogLeNet, and EfficientNet, were introduced and evaluated for lesion detection accuracy. In the training phase, these artificial neural networks showed varying accuracies in lesion detection using both original and hyperspectral images. For instance, ResNet50 achieved 80% accuracy with original images and 84% with hyperspectral images, while Inception v3 consistently achieved 80% accuracy with both types of images. GoogLeNet demonstrated 81% accuracy with original images, improving to 83% with hyperspectral images, and EfficientNet recorded accuracies of 80% for original images and 82% for hyperspectral images. The combination of hyperspectral imaging and deep learning models shows promise in enhancing Alzheimer’s disease detection through ophthalmoscopic image analysis, with hyperspectral images exhibiting higher efficacy compared to original images.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years