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pro vyhledávání: '"Michael Gayhart"'
Automated Detection of Healthy and Diseased Aortae from Images Obtained by Contrast-Enhanced CT Scan
Autor:
Hiroshi Arisawa, Michael Gayhart
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2013 (2013)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Purpose. We developed the next stage of our computer assisted diagnosis (CAD) system to aid radiologists in evaluating CT images for aortic disease by removing innocuous images and highlighting signs of aortic disease.Materials and Methods. Segmented
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9835d5acc758fd5e9f43757cf2d3e81
https://doi.org/10.1155/2013/107871
https://doi.org/10.1155/2013/107871
Publikováno v:
2011 4th International Congress on Image and Signal Processing.
Purpose: This study served as the initial step for developing a computer assisted diagnosis (CAD) system that detects images with signs of aortic diseases from patients' Triple Rule-Out (TRO) protocol data. The process of the CAD system for seeking a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95828200a5b13cca291c2349e06b7aee
https://doi.org/10.1109/cisp.2011.6100653
https://doi.org/10.1109/cisp.2011.6100653
Autor:
Gayhart, Michael1 michaelgayhart@gmail.com, Arisawa, Hiroshi1
Publikováno v:
Computational & Mathematical Methods in Medicine. Jan2013, p1-7. 7p. 1 Color Photograph, 2 Black and White Photographs, 3 Diagrams, 4 Charts.