Carotid Plaque Segmentation in Ultrasound Images Using a Mask R-CNN.

Due to the significant variation in plaque presentation and types amongst presenting patients, the accuracy of the Plaque Mask R-CNN network would benefit from the incorporation of additional patient datasets to incorporate increased variation into the training dataset.

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Publication Details

Journal
PubMed
Published
2025-07-30
Primary Topic
Cerebrovascular and Carotid Artery Diseases
Type
article
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article

Carotid Plaque Segmentation in Ultrasound Images Using a Mask R-CNN.

Rashid Al Mukaddim, Stephanie M. Wilbrand, Carol Mitchell, Jenna Maybock et al.
PubMed
Cerebrovascular and Carotid Artery Diseases
article

Carotid Plaque Segmentation in Ultrasound Images Using a Mask R-CNN.

Rashid Al Mukaddim, Stephanie M. Wilbrand, Carol Mitchell, Jenna Maybock, Robert J. Dempsey, Tomy Varghese, Maxwell Kiernan
article en

Abstract

Due to the significant variation in plaque presentation and types amongst presenting patients, the accuracy of the Plaque Mask R-CNN network would benefit from the incorporation of additional patient datasets to incorporate increased variation into the training dataset.

PubMed
University of Wisconsin–Madison (US), University of Wisconsin Foundation (US), Neurological Surgery (US)
Openalex Percentile: Top 70%
Cerebrovascular and Carotid Artery Diseases
Open Access PDFOpenAlex
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