Medical image segmentation is a fundamental and challenging problem for analyzing
medical images. Among different existing medical image segmentation methods, graph …

The segmentation of liver blood vessels is of major importance as it is essential for
formulating diagnoses, planning and delivering treatments, as well as evaluating the results …

Objective: Segmentation of anatomical structures in ultrasound images requires vast
radiological knowledge and experience. Moreover, the manual segmentation often results in …

Accurate coronary artery segmentation is a fundamental step in various medical imaging
applications such as stenosis detection, 3D reconstruction and cardiac dynamics assessing …

Automated segmentation of the portal vein (PV) for liver radiotherapy planning is a
challenging task due to potentially low vasculature contrast, complex PV anatomy and …

Vessel segmentation as a component of medical image processing is the prerequisite for
accurate diagnosis of vascular-related diseases. Manual delineation of blood vessels has …

Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …

This paper proposes a new automatic method for liver vessel segmentation by exploiting
intensity and shape constraints of 3D vessels. The core of the proposed method is to apply …

The interpretation of medical images benefits from anatomical and physiological priors to
optimize computer-aided diagnosis applications. Diagnosis also relies on the …

Background and objective The present study developed an effective surgical planning
method consisting of a liver extraction stage, a vessel extraction stage, and a liver segment …