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Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning-Enabled Pediatric Sarcoma Classification. [PDF]

Cancer Res
Thiesen AH, Domanskyi S, Foroughi Pour A, Zhang J, Sheridan TB, Neuhauser SB, Stetson A, Dannheim K, Henriksen JC, Cameron DB, Ahn S, Wu H, Christison Lagay ER, Bult CJ, Chen EY, Chuang JH, Rubinstein JC.   +16 more
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Improved image representation and sparse representation for image classification

Applied Intelligence, 2020
It seems that for multiple available images of the same object, the pixel values at the same image position are almost always different, which is especially obvious for the deformable object. This implies that it will be not easy to correctly classify the deformable object.
Shijun Zheng, Yongjun Zhang 0007, Wenjie Liu 0018, Yongjie Zou   +3 more
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Holographic representations of images

IEEE Transactions on Image Processing, 1998
We discuss a new type of holographic image representations that have advantages in a "distributed" world. We call these representations holographic. Arbitrary portions of a holographic representation enable reconstruction of the whole image, with distortions that decrease gradually with the increase in the size of the portions available.
Alfred M. Bruckstein, Robert J. Holt, Arun N. Netravali   +2 more
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Nonredundant image representations

Proceedings of International Conference on Image Processing, 2002
We consider the problem of sending raw image data over lossy or heterogeneous network connections with as little overhead as possible. If the network connection does not support multiple priority levels and the network drops packets at random, a technique is needed where the data would be divided into parts of equal importance, so that the image could ...
F. M. L. Ng, Jelena Kovacevic
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A representation for mammographic image processing

Medical Image Analysis, 1995
Mammographic image analysis is typically performed using standard, general-purpose algorithms. We note the dangers of this approach and show that an alternative physics-model-based approach can be developed to calibrate the mammographic imaging process. This enables us to obtain, at each pixel, a quantitative measure of the breast tissue.
Ralph Highnam, Michael Brady 0001, Basil Shepstone   +2 more
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Images of Representation

Issues in Legal Scholarship, 2005
This paper is one of a series of papers commemorating Richard Stewart’s important article, The Reformation of American Administrative Law. Among other things, Stewart’s 1975 article identified “interest representation†as the central idea that animated a series of important and disparate developments in administrative law doctrine.
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Multiple representations and sparse representation for image classification

Pattern Recognition Letters, 2015
To extract salient features from images is significant for image classification. Deformable objects suffer from the problem that a number of pixels may have varying intensities. In other words, pixels at the same positions of training samples and test samples of an object usually have different intensities, which makes it difficult to obtain salient ...
Yong Xu 0001, Bob Zhang 0001, Zuofeng Zhong   +2 more
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Quantum Image Representation on Clusters

2021 IEEE International Conference on Quantum Computing and Engineering (QCE), 2021
We propose a novel scheme for quantum image representation using the cluster states (QIRC). This scheme is capable to represent images of any size and color. We emphasize the use of cluster states in this scheme due to its high entanglement and various experimental realization across several hardware.
Arijit Mandal, Shreya Banerjee 0003, Prasanta K. Panigrahi   +2 more
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Invariant representation in image processing

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
The paper discusses the role of invariance in image processing, specifically the desire to discriminate against unwanted variations in the scene while maintaining the power to tell the difference between object-intrinsic characteristics and scene-accidental conditions. It provides an analysis and references of what are directly observables in a general
Smeulders, A.W.M., Geusebroek, J.M., Gevers, Th.   +2 more
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