Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …

Introduction. The development augmented reality devices allow physicians to incorporate
data visualization into diagnostic and treatment procedures to improve work efficiency …

This article establishes a comprehensive review of all the different methods proposed by the
literature concerning augmented reality in intra-abdominal minimally invasive surgery (also …

Accurate cerebrovascular segmentation in Digital Subtraction Angiography (DSA) image, as
an indispensable step, can help doctors appropriately estimate the degree of …

Objective Kidney cancers account for approximately 2% of all newly diagnosed cancer in
2020. Among the primary treatment options for kidney cancer, urologist may choose …

The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging
techniques. Surgical resection is the standard treatment, involving complex radical and …

Artificial intelligence (AI) has made considerable progress within the last decade and is the
subject of contemporary literature. This trend is driven by improved computational abilities …

Purpose: Many virtual and augmented reality systems have been proposed to support renal
interventions. This paper reviews such systems employed in the treatment of renal cell …

Background Minimally invasive surgery is complex and associated with substantial learning
curves. Computer-aided anatomy recognition, such as artificial intelligence-based …

Purpose Despite great advances in medical image segmentation, the accurate and
automatic segmentation of endoscopic scenes remains a challenging problem. Two …