Accession Number:

ADA409482

Title:

The CAD Method for Microcalcification Detection: Independent of Sensor and Resolution

Descriptive Note:

Annual summary rept. 1 Jul 2001-30 Jun 2002

Corporate Author:

UNIVERSITY OF SOUTH FLORIDA TAMPA

Personal Author(s):

Report Date:

2002-07-01

Pagination or Media Count:

18.0

Abstract:

The aims of this work are to explore the feasibility of developing a new class of computer assisted diagnostic CAD methods for microcalification cluster MCC detection for breast cancer screening using digital mammography. The objectives are to achieve a improved CAD performance that is significantly more robust for large image databases, and b an adaptive CAD method that is independent of the digital sensor resolution and gray scale characteristics for the first time. This report includes 3 sections, I. Summary of the work in first year, which includes data base collection and truth file establishment for different sensors, preprocessing for breast area segmentation, and basic algorithm design and optimization, 2 Summary of the work in second year, which includes algorithm design and modular optimization for enhancement, segmentation, feature extraction and classification. 3. Whole system optimization and evaluation, which includes a design, optimization and evaluation of a successful MCCs detection system.

Subject Categories:

  • Medicine and Medical Research
  • Cybernetics
  • Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE