Automatic Segmentation of Ultrasound Tomography Image

Automatic Segmentation of Ultrasound Tomography Image

Ultrasound tomography (UST) image segmentation is fundamental in breast density estimation, medicine response analysis, and anatomical change quantification. Existing methods are time consuming and require massive manual interaction. To address these issues, an automatic algorithm based on GrabCut (AUGC) is proposed in this paper. The presented method designs automated GrabCut initialization fo...

Erratum to “Automatic Segmentation of Ultrasound Tomography Image”

[This corrects the article DOI: 10.1155/2017/2059036.].

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...

Automatic Medical Ultrasound Strain Image Segmentation for Breast Tumors

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...