Ultrasound (US) imaging is widely employed for diagnosis and staging of vascular diseases,
mainly due to its high availability and the fact it does not emit ionizing radiation. However …

Fetal development is a critical phase in prenatal care, demanding the timely identification of
anomalies in ultrasound images to safeguard the well-being of both the unborn child and the …

Robotic ultrasound (US) imaging aims at overcoming some of the limitations of free-hand US
examinations, eg difficulty in guaranteeing intra-and inter-operator repeatability. However …

The automated analysis of medical diagnostic videos, such as ultrasound and endoscopy,
provides significant benefits in clinical practice by improving the efficiency and accuracy of …

Medical ultrasound (US) is widely used to evaluate and stage vascular diseases, in
particular for the preliminary screening program, due to the advantage of being radiation …

Active contour models (ACMs) have been widely applied in the field of image segmentation.
However, it is still very challenging to construct an efficient ACM to segment images with …

Recognizing surgical activities in endoscopic videos is of vital importance for developing
context-aware decision support in the operating room. In this work, we model each surgical …

This study presents a novel active contour model (ACM) driven by weighted global and local
region-based signed pressure force (SPF) to segment images in the presence of intensity …

This paper presents an active contour model driven by an adaptive‐scale local‐energy
signed pressure force (ALSPF) function based on bias correction for segmenting medical …

Segmenting the region of interest (ROI) from medical images is a fundamental but
challenging task due to the illumination change and imaging devices. Although many …