Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …

This paper performs a comprehensive study on the deep-learning-based computer-aided
diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by …

Automatic localization of the standard plane containing complicated anatomical structures in
ultrasound (US) videos remains a challenging problem. In this paper, we present a learning-…

In this review, the advances in the study of breast cancer molecular classifications and the
molecular signatures of the luminal subtypes A and B of breast cancer were summarized. …

Micro gas turbines are a promising technology for distributed power generation because of
their compact size, low emissions, low maintenance, low noise, high reliability and multi-fuel …

In this paper, a superpixel and convolution neural network (CNN) based segmentation method
is proposed for cervical cancer cell segmentation. Since the background and cytoplasm …

The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation tasks. …

Segmentation of medical images, particularly late gadolinium-enhanced magnetic resonance
imaging (LGE-MRI) used for visualizing diseased atrial structures, is a crucial first step for …

In this paper, a multiscale convolutional network (MSCN) and graph-partitioning-based
method is proposed for accurate segmentation of cervical cytoplasm and nuclei. Specifically, …

Image-guided prostate interventions often require the registration of preoperative magnetic
resonance (MR) images to real-time transrectal ultrasound (TRUS) images to provide high-…