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System for automated detection of cancerous masses in mammograms

  • US 6,246,782 B1
  • Filed: 06/06/1997
  • Issued: 06/12/2001
  • Est. Priority Date: 06/06/1997
  • Status: Expired due to Term
First Claim
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1. A method for automated analysis of a digitized mammogram to detect the presence of a possible cancerous mass comprising:

  • detecting a region of interest (ROI) using said digitized mammogram and Fourier spatial bandpass analysis, said ROI corresponding with a possible cancerous mass, wherein a plurality of spatially bandpassed images of different resolutions corresponding with said digitized mammogram are employed to identify at least one brightness peak corresponding with the ROI;

    extracting context data for said ROI from said digitized mammogram, said context data comprising attribute information determined in specific relation to the ROI; and

    inputting image data corresponding with said ROI and said context data to a neural net trained in relation to the attributes of cancerous tissue regions, and generating an output from said neural net indicating whether a possible cancerous tissue mass is present in said ROI.

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