Ardigen -Digital Histopathology Technology

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Accelerated learning to reveal more from your biopsy results; Our platform enables you to process whole-slide biopsy images in a scalable manner, without any loss of information contained in the image and with instant quality check and image standardization. Moreover, it  highlights  areas that contain pathological changes and performs automatic segmentation of the tissue. This process can be applied to various scoring systems, such as the Nancy and Geboes Histological score (for inflammatory bowel disease data) or the Gleason score (for prostate cancer data).

Most popular related searches
  • leveraging expertise of histopathologists
  • meaningful and interpretable predictions
  • proven performance comparable to an expert pathologist
  • automatic detection of quality flaws
  • more reliable and precise diagnostics

Histology images are one of the most difficult to analyze automatically.

This is due to multiple factors, such as:

  • Small training set
  • Quality issues of acquired images
  • Mislabeling
  • Different sizes of biopsies
  • Only small regions relevant
  • Large input files - up to 4GB per image