To tackle the above problem, we propose a Global-Local representation learning net for medical image segmentation, namely GL-Segnet. In the Feature encoder, we utilize the Multi-Scale Convolution (MSC ...

This repository is the official implementation of paper "Animate-X: Universal Character Image Animation with Enhanced Motion Representation". Animate-X is a universal animation framework based on ...

Artificial Intelligence: Algorithms Improve Medical Image Analysis Jan. 2, 2025 — Artificial intelligence has the potential to improve the analysis of medical image data. For example ...

The Union Health Ministry's budget has increased by 11% for 2025-2026, with Rs 99,858.56 crore allocated. Key initiatives ...

and the construction of large medical image database is expectable. Secondly, as the important component, ELM can significantly improve the execution efficiency of the proposed method, but its ...

Next, we adapt Self-Supervised Learning (SSL) techniques to the medical domain, specifically for the integration of histological images and genomic data in cancer prognosis. The Self supervised ...

The teenage girl reported missing and last seen at Universal Studios Florida yesterday has been located and is in good health according to Orlando police. UPDATE: Per Orlando Police, the teen girl has ...

Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the world ...

Medical image segmentation plays a pivotal role in modern healthcare, enabling precise analysis and diagnosis through the extraction of anatomical structures and abnormalities. This chapter provides a ...

Nuffield Health will gain access to GE HealthCare's AI systems, which aim to assist clinicians in delivering quicker and more precise diagnoses, thereby providing patients with ti ...