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Medical open network for AI (MONAI) is an open-source, community-supported framework for Deep learning (DL) in healthcare imaging. MONAI provides a collection of domain-optimized implementations of various DL algorithms and utilities specifically designed for medical imaging tasks.
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
ImageJ is a Java-based image processing program developed at the National Institutes of Health and the Laboratory for Optical and Computational Instrumentation (LOCI, University of Wisconsin). [ 2 ] [ 3 ] Its first version, ImageJ 1.x, is developed in the public domain , while ImageJ2 and the related projects SciJava , ImgLib2 , and SCIFIO are ...
Ginkgo CADx, cross-platform open source DICOM viewer; IrfanView, an image viewer for Windows with DICOM support; MicroDicom, DICOM viewer for Windows; VistA imaging, public domain fully integrated PACS, image, and scanned document information system. Incorporates proprietary modules not available outside the VA
The company was founded as DICOM Grid, Inc. in 2004 to make digital medical imaging on a cloud based platform. [6] [7] DICOM Grid launched their cloud based platform as DG Suite, that allows to store diagnostic imaging and health data in its platform that can be accessed and shared by the healthcare providers and patients.
Digital image authentication is an issue [34] for the providers and producers of digital images such as health care organizations, law enforcement agencies, and insurance companies. There are methods emerging in forensic photography to analyze a digital image and determine if it has been altered.
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
Digital Image Correction and Enhancement (Digital ICE) is a set of technologies related to producing an altered image in a variety of frequency spectra.The objective of these technologies is to render an image more usable by Fourier or other filtering techniques.
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