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A TRUSTED PARTNER With nearly 20 years supporting infection control and antimicrobial stewardship programs, ICNET software is now in use in more than 40% of NHS Trusts and Health Boards in the UK. 1 Globally, we partner with more than 1,200 facilities 1 and are proud to uphold a 90% customer retention rate. 2 As the proven industry leader with a commitment to continuously evolving our platform ...
iCent, the international student app.
ICNet is a network that combines multi-resolution branches and label guidance for fast and accurate pixel-wise label inference. The paper presents the framework, analysis and results of ICNet on challenging datasets like Cityscapes, CamVid and COCO-Stuff.
ICNET Hospital Suite is a platform that provides customised solutions for infection prevention and control, antimicrobial stewardship, and outbreak management. It integrates data from disparate systems, delivers actionable insights, and supports timely interventions and reporting.
The ICNET Clinical Surveillance Platform encompasses two differentiated product suites that support integrated disease surveillance to facilitate the goals of their respective users and drive desired outcomes within the populations at risk.. ICNET Hospital Suite supports infection prevention professionals within the healthcare facility setting, while ICNET National Suite supports public health ...
ICNET Hospital Suite is a customisable software solution that supports infection prevention and control (IPC) and antimicrobial stewardship (AMS) in healthcare facilities. It offers clinical surveillance, alerting, reporting, and data analysis tools for infection prevention, ABX steward, outbreak management, and healthcare worker protection.
ICNet Global is a community of researchers and practitioners who aim to bridge the gap between climate science and transportation engineering. They provide resilient solutions, collaborative networks, innovative approaches, and educational resources for climate-smart infrastructure.
ICNet is a network for real-time semantic segmentation on high-resolution images, based on ECCV'18 paper. This repo provides the code, configs, dataset, demo and results of ICNet trained on Cityscapes dataset, with mIOU=71.0 and FPS=52.6.
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ICNet is a network that achieves real-time semantic segmentation on high-resolution images. It uses multi-resolution branches and cascade feature fusion to reduce computation and improve accuracy. See the paper, code, results and datasets on Papers With Code.