… delineated manually in TRUS images for brachytherapy … prostate segmentation in TRUS
images is therefore highly … due to the low soft-tissue contrast in TRUS images, (2) the boundary …

… on the statistical learning theory. We use a number of KSVMs, each of which is applied to
a 3D subregion in the TRUS image. Particularly, the entire TRUS image is uniformly divided …

… the image appearances and the large variation in image correspondence, MR-TRUS image
registration is a very challenging problem. In this paper, an adversarial image registration (…

… In this paper we analyze TRUS images using three different texture extraction methods.
Performance of the combinations of the above three methods are also analyzed. …

… image contrast, speckle noise, and missing or diffuse boundaries in the TRUS images, the
ultrasound images … The speckle noise is commonly found in the ultrasound medical images …

… In this paper, we propose a new segmentation method for 3D prostate TRUS images. We
integrate multi-atlas registration and anatomical signature into machine learning framework to …

… from TRUS images. The image method is adopted in this work and the TRUS images used
in … and are derived from an Aloka 2000 ultrasound machine using a broadband 7-MHz linear …

… In this paper, a machine learning-based framework is … a 10-bar truss, a 25-bar truss,
and a 47-bar truss are used to … Deep transfer learning for image‐based structural damage …

… is usually aided by using TRUS images. This procedure is two … The work done in this paper
focuses on the TRUS image … (prostate boundary segmentation from TRUS images) is crucial …

… , defined as a form of machine learning, composed of adaptative computational statistical …
In this study, they showed that the use of a robotic registration of TRUS images can help to …