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 ...

Abstract: This paper applies the original dual algorithm under the relaxed condition to the graph cut problem based on the Potts model, aiming to improve the computational efficiency of the ...

This project evaluates 6 Explainable AI (XAI) methods in the context of semantic segmentation for autonomous driving. The evaluation is divided into three phases: Phase 1: Model application using ...

In recent years, semi-supervised methods have been rapidly developed for three-dimensional (3D) medical image analysis. However, previous semi-supervised methods for three-dimensional medical images ...

1 College of Mathematics and Computer Science, Dali University, Dali, China 2 School of Electronic Information, Xijing University, Xian, China Introduction: Image instance segmentation is essential ...

The company’s chatbot can now create elaborate and unusual images. By Cade Metz Reporting from San Francisco Chatbots were originally designed to chat. But they can generate images, too. On Tuesday, ...

Abstract: This paper describes an algorithm for color segmentation of images obtained by the computer vision system of an autonomous underwater vehicle. The main goal of image segmentation is further ...