Dividing or segmenting a market is key for any marketer. By knowing the different types of potential customers we have we can better deliver a product or service that is tailored to them. In ...

A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

Abstract: Accurate segmentation of ultrasound images plays a critical role in disease screening and diagnosis. Recently, neural network-based methods have garnered significant attention for their ...

Next month, Gabby's Dollhouse will be receiving a major glow-up on the big screen. The beloved mixed-media children's series at Netflix is getting the feature film treatment with Gabby's Dollhouse: ...

(L to R): Emma Corrin as Elizabeth Bennet, Freya Mavor as Jane Bennet, Olivia Colman as Mrs Bennet, Hopey Parish as Mary Bennet, Rhea Norwood as Lydia Bennet, Hollie Avery as Kitty Bennet in 'Pride & ...

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 ...

1 School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, China 2 School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China ...

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...

Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...