Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance

Volume: 2015, Pages: 1 - 9
Published: Jan 1, 2015
Abstract
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. The evaluation, and often training, of automated classifiers requires manually labelled data as ground truth. In many cases such labelling is not...
Paper Details
Title
Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance
Published Date
Jan 1, 2015
Volume
2015
Pages
1 - 9
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