Deep learning has become the most widely used approach for cardiac image segmentation
in recent years. In this paper, we provide a review of over 100 cardiac image segmentation …

The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …

Echocardiography is an essential diagnostic method to assess cardiac functions. However,
manually labelling the left ventricle region on echocardiography images is time-consuming …

The 2D echocardiography semantic automatic segmentation technique is important in
clinical applications for cardiac function assessment and diagnosis of cardiac diseases …

One of the primary factors contributing to death across all age groups is cardiovascular
disease. In the analysis of heart function, analyzing the left ventricle (LV) from 2D …

A proper definition of cardiac events such as end-diastole (ED) and end-systole (ES) is
important for quantitative measurements in echocardiography. While ED can be found using …

Bone ranks as the third most frequent tissue affected by cancer metastases, following the
lung and liver. Bone metastases are often painful and may result in pathological fracture …

The automatic segmentation of critical anatomical structures in pediatric echocardiography
is the essential steps for early diagnosis and treatment of congenital heart disease …

Cardiac ultrasound imaging is widely used in the clinical setting. Deep learning algorithms
have shown increased potential in automating routine clinical tasks for improved diagnosis …

Cardiac ultrasound measurements such as left ventricular volume, ejection fraction (EF) and
mitral annular plane systolic excursion (MAPSE) are time consuming and highly observer …