Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

@inproceedings{CruzRoa2017AccurateAR,
  title={Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent},
  author={Angel Cruz-Roa and Hannah L. Gilmore and Ajay Basavanhally and Michael D. Feldman and Shridar Ganesan and N. C. Shih and John P. Tomaszewski and Fabio A. Gonzalez and Anant Madabhushi},
  booktitle={Scientific reports},
  year={2017}
}
With the increasing ability to routinely and rapidly digitize whole slide images with slide scanners, there has been interest in developing computerized image analysis algorithms for automated detection of disease extent from digital pathology images. The manual identification of presence and extent of breast cancer by a pathologist is critical for patient… CONTINUE READING