Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification

@article{Gorelick2013ProstateHL,
  title={Prostate Histopathology: Learning Tissue Component Histograms for Cancer Detection and Classification},
  author={Lena Gorelick and Olga Veksler and Mena Gaed and Jose A. Gomez and Madeleine Moussa and Glenn Bauman and Aaron Fenster and Aaron D. Ward},
  journal={IEEE Transactions on Medical Imaging},
  year={2013},
  volume={32},
  pages={1804-1818}
}
Radical prostatectomy is performed on approximately 40% of men with organ-confined prostate cancer. Pathologic information obtained from the prostatectomy specimen provides important prognostic information and guides recommendations for adjuvant treatment. The current pathology protocol in most centers involves primarily qualitative assessment. In this paper, we describe and evaluate our system for automatic prostate cancer detection and grading on hematoxylin & eosin-stained tissue images. Our… CONTINUE READING

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