Abstract: Deep learning-based semi-supervised learning (SSL) algorithms are promising in reducing the cost of manual annotation of clinicians by using unlabelled data, when developing medical image ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Abstract: Medical image registration and segmentation are two of the most frequent tasks in medical image analysis. As these tasks are complementary and correlated, it would be beneficial to apply ...

In this work, we propose a new segmentation task --- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text. We establish a benchmark ...

Artificial intelligence AI research of robot and cyborg development for future of people living. Digital data mining and machine learning technology design for computer brain communication. The ...

TL;DR: Mobile-Seed is an online framework for simultaneous semantic segmentation and boundary detection on compact robots. Abstract: Precise and rapid delineation of sharp boundaries and robust ...