Robust Detection of Masses in Digitized Mammograms

Abstract

This project is to develop a robust computer aided diagnosis (CAD) system for mass detection with high sensitivity and specificity in digitized mammograms. The research in the year of non-cost extension is on data collection, evaluation of clinical significance of CAD system, and the final documentation and manuscript reports. By reviewing more than 1553 cases, a total of 100 consecutive cancer cases were collected. A ground truth file was generated by an experienced radiologist. To evaluate the clinical significance of the CAD system in early cancer detection, a testing of the CAD system on independent consecutive cancer cases was performed, in which the detection FROC curves and months of early detection at different false-positive rates were obtained.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA437880

Entities

People

  • Lihua Li

Organizations

  • University of South Florida

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Breast Cancer
  • Cancer Screening
  • Classification
  • Computer-Aided Diagnosis
  • Computers
  • Data Sets
  • Databases
  • Detection
  • Gray Scale
  • Intervals
  • Mammography
  • Medical Personnel
  • Neoplasms
  • Physicians
  • Sensitivity
  • Test And Evaluation

Fields of Study

  • Medicine
  • Physics

Readers

  • Life Cycle Cost Analysis
  • Oncology and Biomarker-Based Cancer Detection.