WATUNet: a deep neural network for segmentation of volumetric sweep imaging ultrasound
Donya Khaledyan,
Thomas J Marini,
Avice O’Connell
et al.
Abstract:Objective.
Limited access to breast cancer diagnosis globally leads to delayed treatment. Ultrasound, an effective yet underutilized method, requires specialized training for sonographers, which hinders its widespread use. Approach. Volume sweep imaging (VSI) is an innovative approach that enables untrained operators to capture high-quality ultrasound images. Combined with deep learning, like convolutional neural networks (CNNs), it can potentially transform breast cancer diagnosis, enhancing accuracy,… Show more
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