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Imaging tools help radiologists diagnose lung cancer, save lives
Date:6/12/2014

and sent to Cahill and Ben Zikri. Fetzer will clinically verify the algorithmic results.

"With today's technology we have the ability to create three-dimensional datasets, volumes of image data that can be manipulated and analyzed in non-visual ways," Fetzer said. "With techniques such as this we may be able to compensate for background changes and, hopefully, more accurately show growth, assess aggressiveness or prove stability of a nodule. This accurate assessment could dramatically affect patient care, decrease cost and the number unnecessary procedures, and improve outcomes through earlier cancer detection."


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Contact: Susan Gawlowicz
smguns@rit.edu
585-475-5061
Rochester Institute of Technology
Source:Eurekalert

Page: 1 2 3

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