Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …

Deep learning algorithms, in particular convolutional networks, have rapidly become a
methodology of choice for analyzing medical images. This paper reviews the major deep …

Ultrasound (US) imaging is the most commonly performed cross-sectional diagnostic
imaging modality in the practice of medicine. It is low-cost, non-ionizing, portable, and …

Accurate diagnosis of thyroid nodules using ultrasonography is a valuable but tough task
even for experienced radiologists, considering both benign and malignant nodules have …

It is essential to measure anatomical parameters in prenatal ultrasound images for the
growth and development of the fetus, which is highly relied on obtaining a standard plane …

Ultrasonography is a valuable diagnosis method for thyroid nodules. Automatically
discriminating benign and malignant nodules in the ultrasound images can provide aided …

Semantic image segmentation is a popular image segmentation technique where each pixel
in an image is labeled with an object class. This technique has become a vital part of image …

This paper addresses the use in different stages of pregnancy of ultrasound imaging and to
examine the tumors diagnosed during lactation or pregnancy. There are recent …

Fetal congenital heart disease (FHD) is a common and serious congenital malformation in
children. In Asia, FHD birth defect rates have reached as high as 9.3%. For the early …

Ultrasound is a widely used imaging modality, yet it is well-known that scanning can be
highly operator-dependent and difficult to perform, which limits its wider use in clinical …