Deep learning-based methods, in particular, convolutional neural networks and fully
convolutional networks are now widely used in the medical image analysis domain. The …

Liver vessel segmentation is fast becoming a key instrument in the diagnosis and surgical
planning of liver diseases. In clinical practice, liver vessels are normally manual annotated …

Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis
and vessel segmentation. This paper presents a survey of techniques and algorithms for …

Accurate hepatic vessel segmentation and registration using ultrasound (US) can contribute
to beneficial navigation during hepatic surgery. However, it is challenging due to noise and …

Accurate liver vessel segmentation is of crucial importance for the clinical diagnosis and
treatment of many hepatic diseases. Recent state-of-the-art methods for liver vessel …

The accurate modeling of the liver vessel network structure is an important prerequisite for
developing a preoperative plan for the liver. Considering that extracting liver blood vessels …

Scoliosis is a widespread medical condition where the spine becomes severely deformed
and bends over time. It mostly affects young adults and may have a permanent impact on …

Deep learning (DL) is one of the most important machine learning methods which has
achieved great success in the field of medical image analysis. DL teaches a computer model …

Scoliosis is a 3D deformation of the spine categorized by a spine curvature angle larger than
10 in the coronal plane. During the adolescent period, as the skeletal structure of a child …

Background To improve surgical performance, image-guided (IG) technologies are
increasingly introduced. Yet, it is unknown which oncological procedures yield most value …