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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.
Endrov Image and data viewer and editor. It is available under the BSD license. [40] GIMIAS is a workflow-oriented environment focused on biomedical image computing and simulation. It is available under a BSD-style license. [41] Ginkgo CADx Cross-platform open source DICOM viewer and dicomizer.
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 ...
3D Slicer (Slicer) is a free and open source software package for image analysis [1] [2] and scientific visualization. Slicer is used in a variety of medical applications, including autism , multiple sclerosis , systemic lupus erythematosus , prostate cancer , lung cancer , breast cancer , schizophrenia , orthopedic biomechanics , COPD ...
IGSTK is an open-source software toolkit designed to enable biomedical researchers to rapidly prototype and create new applications for image-guided surgery. This toolkit provides functionalities that are commonly needed when implementing image-guided surgery applications, such as integration with optical and electromagnetic trackers ...
Advanced image editor with a simplified tabbed interface, new Helicon Focus Helicon Soft Ltd. August 2004: 7.6.6 2020 Proprietary: ImageJ: Image processing program developed at the National Institutes of Health. See ImageJ2 and FIJI for modified and extended versions. Wayne Rasband (NIH) 1997: 1.54k [15] 2024-09-16 Free Public domain: ImageMagick
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.
Anne E. Carpenter is an American scientist in the field of image analysis for cell biology and artificial intelligence for drug discovery.She is the co-creator of CellProfiler, open-source software for high-throughput biological image analysis, and a co-inventor of the Cell Painting assay, a method for image-based profiling.