This article presents a novel method for bone segmentation from three-dimensional (3-D) ultrasound images that derives intensity-invariant 3-D local image phase measures that are …
X Wang, Y Guo, Y Wang, J Yu - Neural Computing and Applications, 2019 - Springer
Breast cancer is one of the most common female malignancies, as well as the second leading cause of mortality for women. Early detection and treatment can dramatically …
Background Accurate localization of bone surfaces remains a challenge hampering adoption of ultrasound guidance in computer‐assisted orthopaedic surgery. Local phase …
The diagnosis of urinary tract calculi begins with a focused history of calculi, evolution of its symptoms and the duration. Computer assisted approaches for analyzing the images have …
Automatic, accurate and real-time registration is an important step in providing effective guidance and successful anatomic restoration in ultrasound (US)-based computer assisted …
This work tackles the segmentation of apparent-motion from a bottom-up perspective. When no information is available to build prior high-level models, the only alternative are bottom …
X Wang, Y Guo, Y Wang - 2015 8th International Conference …, 2015 - ieeexplore.ieee.org
Tumor localization in automated whole breast ultrasound (ABUS) images is an important and challenging task in a computer-aided detection (CAD) system. In this study, a …
L Gao, J Jiang, SY Yang - … Concepts for Intelligent Vision Systems: 8th …, 2006 - Springer
Most existing object segmentation algorithms suffer from a so-called under-segmentation problem, where parts of the segmented object are missing and holes often occur inside the …
Y Yu - SEG International Exposition and Annual Meeting, 2016 - onepetro.org
Many seismic attributes today reveal fault and fracture patterns. However, these fault attributes often suffer from noise or artifacts in the input data, resulting in data that is not high …