JA Noble, D Boukerroui - IEEE Transactions on medical …, 2006 - ieeexplore.ieee.org
This paper reviews ultrasound segmentation methods, in a broad sense, focusing on techniques developed for medical B-mode ultrasound images. First, we present a review of …
Though the classical image-segmentation techniques have demonstrated their capability in various applications, their performance degrades severely when they are applied to …
K Saini, ML Dewal, M Rohit - … Journal of advanced science and technology, 2010 - Citeseer
Segmentation remains a necessary step in medical imaging to obtain qualitative measurements such as the location of objects of interest as well as for quantitative …
Y Luo, L Liu, Q Huang, X Li - BioMed research international, 2017 - Wiley Online Library
Ultrasound imaging has become one of the most popular medical imaging modalities with numerous diagnostic applications. However, ultrasound (US) image segmentation, which is …
B Levienaise-Obadia, A Gee - Image and Vision Computing, 1999 - Elsevier
This article describes a novel approach to the semi-automatic segmentation of ultrasound images. Assisted segmentation is particularly attractive when processing many slices …
Segmentation of ultrasound images is a challenging problem due to speckle, which corrupts the image and can result in weak or missing image boundaries, poor signal to noise ratio …
Q Huang, Y Luo, Q Zhang - … journal of computer assisted radiology and …, 2017 - Springer
Purpose Breast cancer is the most common form of cancer among women worldwide. Ultrasound imaging is one of the most frequently used diagnostic tools to detect and classify …
Intravascular ultrasound (IVUS) constitutes a valuable technique for the diagnosis of coronary atherosclerosis. The detection of lumen and media-adventitia borders in IVUS …
M Xian, Y Zhang, HD Cheng - Pattern Recognition, 2015 - Elsevier
Due to the complicated structure of breast and poor quality of ultrasound images, accurately and automatically locating regions of interest (ROIs) and segmenting tumors are challenging …