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 …

The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …

Deep learning, for image data processing, has been widely used to solve a variety of
problems related to medical practices. However, researchers are constantly struggling to …

Breast cancer is the second leading cause of death for women all over the world. Since the
cause of the disease remains unknown, early detection and diagnosis is the key for breast …

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 …

Abstract Background and Objective Breast cancer is a fatal threat to the health of women.
Ultrasonography is a common method for the detection of breast cancer. Computer-aided …

In current breast ultrasound computer aided diagnosis systems, the radiologist preselects a
region of interest (ROI) as an input for computerised breast ultrasound image analysis. This …

RATIONALE AND OBJECTIVES: To investigate the feasibility using quantitative
morphology/texture features of breast lesions for diagnostic prediction, and to explore the …

Multistage processing of automated breast ultrasound lesions recognition is dependent on
the performance of prior stages. To improve the current state of the art, we propose the use …

Triple-negative breast cancer (TNBC) is sometimes mistaken for fibroadenoma due to its
tendency to show benign morphology on breast ultrasound (US) albeit its aggressive nature …