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.

Features

  • 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

Project Samples

Comparative Search (alternative view) Comprehensive Multi-datasource Pathology Case Viewer Comparative Search SNPa Data entry panel Examining an individual region of morphological analysis

Project Activity

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Categories

Data Visualization, Medical, Computer Aided Instruction (CAI), Virtualization

License

Non-Profit Open Software License 3.0 (Non-Profit OSL 3.0), Other License

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  • avenzoar Posted 2010-02-01
    Great stuff. Worth looking at for academic and research purposes.
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Additional Project Details

Operating Systems

BSD, Cygwin, Linux, Windows

Intended Audience

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

User Interface

SDL, Web-based

Programming Language

C, Java

Database Environment

Flat-file

Related Categories

C Data Visualization Software, C Medical Software, C Computer Aided Instruction (CAI) Software, C Virtualization Software, Java Data Visualization Software, Java Medical Software, Java Computer Aided Instruction (CAI) Software, Java Virtualization Software

Registered

2010-02-01
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