Show simple item record

AuthorHassen Mohammed, Hanadi
AuthorElharrouss, Omar
AuthorOttakath, Najmath
AuthorAl-Maadeed, Somaya
AuthorChowdhury, Muhammad E.H.
AuthorBouridane, Ahmed
AuthorZughaier, Susu M.
Available date2023-06-21T08:20:01Z
Publication Date2023-04-12
Publication NameApplied Sciences (Switzerland)
Identifierhttp://dx.doi.org/10.3390/app13084821
CitationHassen Mohammed, H., Elharrouss, O., Ottakath, N., Al-Maadeed, S., Chowdhury, M. E., Bouridane, A., & Zughaier, S. M. (2023). Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models. Applied Sciences, 13(8), 4821.
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85156098299&origin=inward
URIhttp://hdl.handle.net/10576/44645
AbstractCommon carotid intima-media thickness (CIMT) is a common measure of atherosclerosis, often assessed through carotid ultrasound images. However, the use of deep learning methods for medical image analysis, segmentation and CIMT measurement in these images has not been extensively explored. This study aims to evaluate the performance of four recent deep learning models, including a convolutional neural network (CNN), a self-organizing operational neural network (self-ONN), a transformer-based network and a pixel difference convolution-based network, in segmenting the intima-media complex (IMC) using the CUBS dataset, which includes ultrasound images acquired from both sides of the neck of 1088 participants. The results show that the self-ONN model outperforms the conventional CNN-based model, while the pixel difference- and transformer-based models achieve the best segmentation performance.
SponsorThis publication was supported by the Qatar University Internal Grant #QUHI-CENG-22/23-548.
Languageen
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Subjectcarotid artery
deep learning
image segmentation
intima-media thickness
ultrasound imaging
TitleUltrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models
TypeArticle
Issue Number8
Volume Number13
ESSN2076-3417
dc.accessType Open Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record