Optical ultrasound sensors have been increasingly employed in biomedical diagnosis and
photoacoustic imaging (PAI) due to high sensitivity and resolution. PAI could visualize the …

Background: Numerous traditional filtering approaches and deep learning-based methods
have been proposed to improve the quality of ultrasound (US) image data. However, their …

Cardiac ultrasound (US) image segmentation is vital for evaluating clinical indices, but it
often demands a large dataset and expert annotations, resulting in high costs for deep …

Hypoplastic left heart syndrome (HLHS) is a rare, complex, and incredibly foetal congenital
heart disease. To decrease neonatal mortality, evolving HLHS (eHLHS) in pregnant women …

Objective The purpose of this retrospective study was to report our cases of fetal ectopia
cordis (EC) and to evaluate the utility of fetal cardiovascular magnetic resonance imaging …

Background Early detection of central nervous system (CNS) anomalies in human embryos
through prenatal screening is crucial for timely intervention and improved patient outcomes …

Deep learning has significantly advanced image processing in the medical domain,
including the analysis of ultrasound (US) fetal images for prediction of fetal growth …

To examine the performance of the image pre-processing, filters for the removal of noise in
the prediction of fetal growth retardation (FGR) is the main objective of this paper. Various …