Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...

Code repository for training a brain tumour U-Net 3D image segmentation model using the 'Task1 Brain Tumour' medical segmentation decathlon challenge dataset.

DataSet Tracker is a software suite for real-time image analysis designed to run on personal computers, smartphones, and smart glasses hardware and suitable for resource-constrained computing ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A common desire in nanoscience is to describe the size and morphology of nanoparticles ...

Abstract: Image segmentation is a critical step in many clinical applications and is crucial in computer-assisted diagnosis. Segmentation of brain is the technique of automatically recognizing ...

The color image of the fire hole is key for the working condition identification of the aluminum electrolysis cell (AEC). However, the image of the fire hole is difficult for image segmentation due to ...