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Difference between revisions of "Center for Imaging Science"

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(Created page with "Category:Organizations "The Center for Imaging Science (CIS) sits at the intersection of mathematics, computer science, biomedical engineering, and electrical engineering....")
 
 
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"The Center for Imaging Science (CIS) sits at the intersection of mathematics, computer science, biomedical engineering, and electrical engineering. Its members are developing tools to extract patterns and meaning from various types of large-scale datasets, and are applying this knowledge to guide new advances in facial recognition software, vision-based navigation systems for robots and self-driving cars, disease diagnosis and treatment, and more. Using mathematical and computational approaches, CIS researchers are pioneering new discoveries in four major areas: medical image analysis, computer vision, computational biology, and statistical learning."
 
"The Center for Imaging Science (CIS) sits at the intersection of mathematics, computer science, biomedical engineering, and electrical engineering. Its members are developing tools to extract patterns and meaning from various types of large-scale datasets, and are applying this knowledge to guide new advances in facial recognition software, vision-based navigation systems for robots and self-driving cars, disease diagnosis and treatment, and more. Using mathematical and computational approaches, CIS researchers are pioneering new discoveries in four major areas: medical image analysis, computer vision, computational biology, and statistical learning."
 
==Links==
 
==Links==
 
[https://www.cis.jhu.edu/ Website]
 
[https://www.cis.jhu.edu/ Website]
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[https://twitter.com/JohnsHopkins Twitter][https://facebook.com/johnshopkinsuniversity Facebook]

Latest revision as of 01:55, 6 January 2023

"The Center for Imaging Science (CIS) sits at the intersection of mathematics, computer science, biomedical engineering, and electrical engineering. Its members are developing tools to extract patterns and meaning from various types of large-scale datasets, and are applying this knowledge to guide new advances in facial recognition software, vision-based navigation systems for robots and self-driving cars, disease diagnosis and treatment, and more. Using mathematical and computational approaches, CIS researchers are pioneering new discoveries in four major areas: medical image analysis, computer vision, computational biology, and statistical learning."

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