Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis

@inproceedings{Turkki2015AssessmentOT,
  title={Assessment of tumour viability in human lung cancer xenografts with texture-based image analysis},
  author={Riku Turkki and Nina Linder and Tanja Holopainen and Yinhai Wang and Anne Grote and Mikael Lundin and Kari Alitalo and Johan Lundin},
  booktitle={Journal of clinical pathology},
  year={2015}
}
AIMS To build and evaluate an automated method for assessing tumour viability in histological tissue samples using texture features and supervised learning. METHODS H&E-stained sections (n=56) of human non-small cell lung adenocarcinoma xenografts were digitised with a whole-slide scanner. A novel image analysis method based on local binary patterns and a support vector machine classifier was trained with a set of sample regions (n=177) extracted from the whole-slide images and tested with… CONTINUE READING
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