Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …

Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …

Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …

Two-dimensional (2-D) biomedical semantic segmentation is important for robotic vision in
surgery. Segmentation methods based on deep convolutional neural network (DCNN) can …

This article provides a comprehensive review of deep learning-based blood vessel
segmentation of the brain. Cerebrovascular disease develops when blood arteries in the …

Deep Convolutional Neural Networks (DCNNs) are used extensively in medical image
segmentation and hence 3D navigation for robot-assisted Minimally Invasive Surgeries …

Intersection navigation comprises one of the major ingredient of Intelligent Transportation
Systems (ITS) for Visually Impaired Pedestrians (VIP), who are the most vulnerable road …

Recently, there has been significant progress in medical image segmentation utilizing deep
learning techniques. However, these achievements largely rely on the supposition that the …

Semantic segmentation represents a promising means to unify different detection tasks,
especially pixel-wise traversability perception as the fundamental enabler in robotic vision …

Semantic perception is a key enabler in robotics, which supposes a very resourceful and
efficient manner of applying vision information for upper-level navigation and manipulation …