We present the first system that provides real-time probe movement guidance for acquiring
standard planes in routine freehand obstetric ultrasound scanning. Such a system can …

Despite that deep learning has achieved state-of-the-art performance for medical image
segmentation, its success relies on a large set of manually annotated images for training that …

Ultrasound (US) examination of the fetal central nervous system is one of the significant
tasks in the mid-term pregnancy inspection, in which the fetal cerebellum, as the key …

Several reviews have been conducted regarding artificial intelligence (AI) techniques to
improve pregnancy outcomes. But they are not focusing on ultrasound images. This survey …

To compensate for the intraoperative brain tissue deformation, computer-assisted
intervention methods have been used to register preoperative magnetic resonance images …

Fetal motion is the dominant challenge to reliable performance and diagnostic quality of fetal
magnetic resonance imaging (MRI). The fetus can move unpredictably and rapidly, leading …

This study was aimed at investigating the ultrasound based on deep learning algorithm to
evaluate the rehabilitation effect of transumbilical laparoscopic single‐site total hysterectomy …

Convolutional neural networks have shown outstanding object recognition performance,
especially for visual recognition tasks such as tumor classification in 2D ultrasound (US) …

We present PRETUS—a Plugin-based Real Time UltraSound software platform for live
ultrasound image analysis and operator support. The software is lightweight; functionality is …

In this paper, we propose an automatic method for estimating fetal position based on
classification and detection of different fetal parts in ultrasound images. Fine tuning is …