Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance
Application of personalized medicine requires integration of different data to determine each patient’s unique clinical constitution. The automated analysis of medical data is a growing field where different machine learning techniques are used to minimize the time-consuming task of manual analysis....
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Main Authors: | Carl-Magnus Svensson, Ron Hübler, Marc Thilo Figge |
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Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
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Series: | Journal of Immunology Research |
Online Access: | http://dx.doi.org/10.1155/2015/573165 |
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