Brain segmentation is often the first and most critical step in quantitative analysis of the brain
for many clinical applications, including fetal imaging. Different aspects challenge the …

Central nervous system abnormalities in fetuses are fairly common, happening in 0.1% to
0.2% of live births and in 3% to 6% of stillbirths. So initial detection and categorization of …

Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …

In this study, we developed an automated workflow using a deep learning model (DL) to
measure the lateral ventricle linearly in fetal brain MRI, which are subsequently classified …

Brain segmentation in magnetic resonance imaging (MRI) images is the process of isolating
the brain from non-brain tissues to simplify the further analysis, such as detecting pathology …

Fetal brain extraction from magnetic resonance (MR) images is of great importance for both
clinical applications and neuroscience studies. However, it is a challenging task, especially …

医学影像是产前筛查, 诊断, 治疗引导和评估的重要工具, 能有效避免胎儿脑的发育异常. 近年来,
磁共振成像在产前诊断中愈加重要, 而实现自动, 定量, 精确地分析胎儿脑磁共振图像依赖于可靠 …

Целью данного обзора явилось изучение российской и зарубежной литературы,
посвященной влиянию врожденного порока сердца на развивающийся мозг плода …

In this study, we developed an automated workflow using a deep learning model (DL) to
measure the lateral ventricle linearly in fetal brain MRI, which are subsequently classified …