Automated 3D ultrasound image segmentation to aid breast cancer image interpretation

3D Ultrasound image segmentation: A Survey

Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. The focus of this report is to investigate applications of these techniques and a review of the original ideas and concepts. Although many two-dimensional image segmentation in the literature have been considered as a threedimensional approach by mistake but we review them as a three-dimensional technique. We se...

Automatic Breast Ultrasound Image Segmentation: A Survey

Breast cancer is one of the leading causes of cancer death among women worldwide. In clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging and essential for cancer diagnosis and treatment planning. Many BUS segmentation approaches have been studied in the last two decades, and have been proved to be effective on private datasets. Currently, the advancement o...

Intravascular ultrasound image interpretation

In this study, statistical and fractal texture analysis was used to assess the ability of 30MHz Intravascular Ultrasound (IVUS) data, in raw and scan-converted form, to characterise atherosclerotic plaque. Data from 3 different plaque groups was assessed in the study, these were, loose fibrotic tissue (LFT), dense fibrotic tissue (DFT) and calcium (CA). The composition of each group was verifie...

Ultrasound Image Segmentation

Ultrasound imaging or ultrasonography is an important diagnosis method in medical analysis. It is important to segment out cavities, di erent types of tissues and organs in the ultrasound image for e ective and correct diagnosis. Human experts are very good in segmenting out the required region. But humans lack e ciency when size of dataset increases. The need of high reproducibility and need o...

3D Ultrasound Image Segmentation: Interactive Texture-Based Approaches