Background Recently, deep convolutional neural networks (CNNs) have been widely
adopted for ultrasound sequence tracking and shown to perform satisfactorily. However …

Propose Multimodal registration of 2D Ultrasound (US) and 3D Magnetic Resonance (MR)
for fusion navigation can improve the intraoperative detection accuracy of lesion. However …

Ultrasound is a promising medical imaging modality benefiting from low-cost and real-time
acquisition. Accurate tracking of an anatomical landmark has been of high interest for …

Objective. Radiation therapy requires a precise target location. However, respiratory motion
increases the uncertainties of the target location. Accurate and robust tracking is significant …

Ultrasound tracking is of great significance in assisting ultrasound imaging diagnosis. Due to
the high noise, temporal continuity, and periodic motion patterns of two-dimensional …

Ultrasound imaging can provide 3D images of soft tissue structures in real-time without
harmful radiation. Due to its high level of availability and low-cost characteristics, it is …

Anatomy tracking plays an essential role in real-time US image interpretation. However, the
low US image quality poses a challenge to this task. Intensive manual labeling is often …

Objective. Automated detection and segmentation of breast masses in ultrasound images
are critical for breast cancer diagnosis, but remain challenging due to limited image quality …

The main function of the athlete tracking system is to collect the real-time competition data of
the athletes. Deep learning is a research hotspot in the field of image and video. With the …

Objectives Respiratory motion-induced displacement of internal organs poses a significant
challenge in image-guided radiation therapy, particularly affecting liver landmark tracking …