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The Cancer Imaging Archive (TCIA) is an open-access database of medical images for cancer research. The site is funded by the National Cancer Institute's (NCI) Cancer Imaging Program, and the contract is operated by the University of Arkansas for Medical Sciences. Data within the archive is organized into collections which typically share a ...
Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [ 52 ] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community.
Image–text-pair dataset 10 billion pairs of alt-text and image sources in HTML documents in CommonCrawl 746,972,269 Images, Text Classification, Image-Language 2022 [31] SIFT10M Dataset SIFT features of Caltech-256 dataset. Extensive SIFT feature extraction. 11,164,866 Text Classification, object detection 2016 [32] X. Fu et al. LabelMe
IDL – often used to view medical images; ImageJ; InVesalius – free, open source software that can be used to view DICOM images and transform DICOM image stacks to 3D models and export them to .STL; IrfanView; MicroDicom – free DICOM viewer for Windows. Noesis – free DICOM importer and exporter with 3D visualization for Windows.
Image processing with the MeVis Image Processing Library (ML): The ML is a request-driven, page-based, modular, expandable C++ image processing library supporting up to six image dimensions (x, y, z, color, time, user dimensions). It offers a priority-controlled page cache and high performance for large data sets.
Medical image computing typically operates on uniformly sampled data with regular x-y-z spatial spacing (images in 2D and volumes in 3D, generically referred to as images). At each sample point, data is commonly represented in integral form such as signed and unsigned short (16-bit), although forms from unsigned char (8-bit) to 32-bit float are ...
ITK-SNAP is an interactive software application that allows users to navigate three-dimensional medical images, manually delineate anatomical regions of interest, and perform automatic image segmentation.
VistA Imaging is an FDA-listed Image Management system used in the Department of Veterans Affairs healthcare facilities nationwide.It is one of the most widely used image management systems in routine healthcare use, and is used to manage many different varieties of images associated with a patient's medical record.
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