Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.


  • Detects and comes to a computer-aided diagnosis (CAD) for one of 4 types of Renal Cell Carcinoma (RCC / Kidney Cancer)
  • Allows for cataloging of cases with ancillary SNP data and previously analyzed regions of interest
  • Works with libOpenSlide, so it supports a wide variety of digital pathology slide images from many different vendors (Hammamatsu, Aperio, Bacus, Omnyx)
  • Provides LOH (loss-of-heterozygosity) metrics by reading SNPa data converted from Affymetrix arrays to CSV files
  • Exports images for use in presentations to other clinicians, patients or researchers
  • Highlights regions of interest in morphological images
  • Provides an open framework for marking scientific images of any type
  • Loads JPEG, BMP, PNG and other formats supported by SDL_Image
  • Has a nice GUI provided by libAgar
  • Tested to work on SuSE, Ubuntu, Win32/64
  • Java version built with Processing (Processing.org)
  • Native C version
  • Commercial licensing available, please contact us.
  • Correlated search results by morphology or comprehensive test (works well!)
  • Can be used on a web server as a command-line tool that outputs web-ready HTML and result images for presentation over the web

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  • Great stuff. Worth looking at for academic and research purposes.

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Additional Project Details

Intended Audience

Non-Profit Organizations, Healthcare Industry, Science/Research, Advanced End Users, Developers

User Interface

Web-based, SDL

Programming Language

C, Java

Database Environment