Multimodal ultrasound image-based recognition for vascular diseases in infants and young children

Jiahao Wu; Qiang He

doi:10.1117/12.3044264

27 August 2024 Multimodal ultrasound image-based recognition for vascular diseases in infants and young children

Jiahao Wu, Qiang He

Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 132520G (2024) https://doi.org/10.1117/12.3044264
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China

Abstract

Infantile hemangiomas (IH) and venous malformations (VM) are two common vascular diseases that occur during childhood. Both diseases present similar features in grayscale ultrasound images; therefore, using separate grayscale ultrasound images to classify IH and VM can result in misclassification owing to insufficient comprehensible information in the single-modality images. To address this problem, this study proposes an ultrasound multimodal classification model. The model uses grayscale ultrasound images and the corresponding color ultrasound images of IH and VM as input to the feature extraction modules. The feature outputs from the two modules are spliced and fused. Finally, the fused features are input into the fully connected layer to be classified and recognized. The data consists of 1498 grayscale images and 1498 color images. The experimental results showed that the accuracy of the ultrasound multimodal classification model was 96.9%, which was higher than that of seven existing unimodal models.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiahao Wu and Qiang He "Multimodal ultrasound image-based recognition for vascular diseases in infants and young children", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 132520G (27 August 2024); https://doi.org/10.1117/12.3044264

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Ultrasonography

Data modeling

Vascular diseases

Performance modeling

Deep learning

Education and training

Image classification

Show All Keywords

Keywords/Phrases

Search In:

Publication Years