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Research Training in Imaging at the NIH
Academic Radiology, 2002Establishment of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) at the National Institutes of Health (NIH) represented a milestone for radiology, biomedical engineering, and the imaging sciences. In the coming years, research supported by NIBIB will advance both clinical care and biomedical research.
Philip O, Alderson, Edward C, Nagy
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Image sets for the training of image processing systems
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, 2010State of the Art image compression algorithms utilize Discrete Wavelet Transforms (DWTs), to losslessly compress raw images for storage and transmission. These techniques form the basis for image formats such as JPEG2000, as well as the storage of medical images, such as ultrasound and CT scans. The transmission of defense and aerospace images, such as
Shawn Aldridge +2 more
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Training and … Image/Imagination
Theatre, Dance and Performance Training, 2015Imagination:through which image is conceived, developed, essayed, perhaps with the aid of speculative instruments such as bodies and words.
John Hall +4 more
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Imaging an atomic soliton train
Science, 2017Atomic Gases Solitons—waveforms that keep their shape as they travel—can form in various environments where waves propagate, such as optical media. In a one-dimensional tube of bosonic atoms, solitons are formed when the interaction between the atoms is suddenly switched from repulsive to attractive.
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Rethinking pre-training on medical imaging
Journal of Visual Communication and Image Representation, 2021Abstract Transfer learning from natural image datasets, such as ImageNet, is common for applying deep learning to medical imaging. However, the modalities of natural and medical images differ considerably, and the reason for the latest medical research preferring ImageNet to medical data is questionable.
Yang Wen +3 more
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Texture classification with minimal training images
2008 19th International Conference on Pattern Recognition, 2008The objective of this work is classifying texture from a single image under unknown lighting conditions. The current and successful approach to this task is to treat it as a statistical learning problem and learn a classifier from a set of training images, but this requires a sufficient number and variety of training images.
Targhi, AT +2 more
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Evaluating the morphological completeness of a training image
Physical Review E, 2017Understanding the three-dimensional (3D) stochastic structure of a porous medium is helpful for studying its physical properties. A 3D stochastic structure can be reconstructed from a two-dimensional (2D) training image (TI) using mathematical modeling.
Mingliang, Gao +4 more
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Images of Trains, Trains of Images — Dickens, Deleuze, Representation
2002In Graham Swift’s Ever After, the Victorian hero, Matthew Pearce, describes the opening of the Bristol and Exeter railway for the benefit of his future wife and her father, the local vicar: Matthew does not overdo his scene painting, but his voice betrays a curious urgency, and he finds himself gratified, peculiarly enlightened, by the looks of ...
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