Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alexander C. Schneider"'
Autor:
Thomas Vogelsang, Alexander C. Schneider, Michael Guidash, Gerrit Barnard, Craig M. Smith, Frank Armstrong, Jay Endsley, Salman Kabir
Publikováno v:
Journal of Electronic Imaging. 27:1
Differential binary pixel technology is a threshold-based timing, readout, and image reconstruction method that utilizes the subframe partial charge transfer technique in a standard four-transistor (4T) pixel CMOS image sensor to achieve a high dynam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25808bfdfda00793d97a4dbd2c8e582a
https://doi.org/10.1117/1.jei.27.2.023030
https://doi.org/10.1117/1.jei.27.2.023030
Autor:
Alan A. Stein, Alexander C. Schneider, Carl J. Vyborny, Harlan M. Romsdahl, Kathryn F. O'Shaughnessy, Takeshi Doi
Publikováno v:
Radiology. 215:703-707
To determine the prevalence of spiculation in a large series of screening-detected breast cancers appearing as masses on mammograms and to assess the sensitivity of a computer-aided detection (CAD) algorithm that uses spiculation measures in the dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32714a40cfc831e9628418291deaaffe
https://doi.org/10.1148/radiology.215.3.r00jn38703
https://doi.org/10.1148/radiology.215.3.r00jn38703
Publikováno v:
SPIE Proceedings.
In many areas of practical interest, for example medical decision making problems, input data for training and testing neural networks are severely limited in number, are corrupted by noise, and may be highly correlated. In this study we examine thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b14b350bced48b9f61d63faa4a9d8c96
https://doi.org/10.1117/12.175100
https://doi.org/10.1117/12.175100
Publikováno v:
SPIE Proceedings.
Neural network based analysis of ultrasound image data was carried out on liver scans of normal subjects and those diagnosed with diffuse liver disease. In a previous study, ultrasound images from a group of normal volunteers, Gaucher's disease patie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7d40026f1df16da5ed7e8345fef1cd
https://doi.org/10.1117/12.154550
https://doi.org/10.1117/12.154550
Publikováno v:
Medical Imaging VI: Image Processing.
A back propagation neural network was used to compress simulated nuclear medicine liver images with and without simulated lesions. The network operated on the Gabor representation of the image, in order to take advantage of the apparent similarity be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b9588a7005d1b9358172577c8956760
https://doi.org/10.1117/12.59441
https://doi.org/10.1117/12.59441
Conference
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Conference
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