Physical Color Calibration of Digital Pathology Scanners for Deep Learning Based Diagnosis of Prostate CancerDownload PDF

22 Apr 2022, 08:19 (edited 04 Jun 2022)MIDL 2022 Short PapersReaders: Everyone
  • Keywords: Color Calibration, Cancer Detection, Artificial Intelligence
  • TL;DR: We apply a commercial color calibration slide for standardising WSIs of prostate biopsies, and the results show that this calibration improves the diagnostic performance of an AI system for detecting prostate cancer.
  • Abstract: Variation in whole slide image (WSI) across different scanners poses a problem for deep learning algorithms. We apply a color calibration slide to standardize WSIs from different sites and evaluate the effect of calibration on a deep learning model for prostate cancer diagnosis. We show that calibration can significantly improve the accuracy of the model.
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  • Paper Type: novel methodological ideas without extensive validation
  • Primary Subject Area: Detection and Diagnosis
  • Secondary Subject Area: Application: Histopathology
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