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Digital Mammography: Computer-Aided Breast Cancer Diagnosis

18 Years
80 Years
Open (Enrolling)
Breast Cancer, Breast Abnormalities

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Trial Information

Digital Mammography: Computer-Aided Breast Cancer Diagnosis

To develop a computer-aided diagnosis (CAD) system for full field digital mammography (FFDM)
using advanced computer vision techniques and to evaluate the effects of CAD on
interpretation of digital mammograms (DMs). This system will assist radiologists with the
four most important areas in mammographic interpretation: (1) detection of masses, (2)
classification of masses, (3) detection of microcalcifications, (4) classification of
microcalcifications. The proposed approach is distinctly different from previous approaches
in that image information from two-view and bilateral mammograms will be fused with that
from the single-view mammogram to improve lesion detection and characterization.

Inclusion Criteria:

- Females who have been scheduled for mammographic exams.

- Females who have been recommended for work-up or biopsy due to a suspicious finding
on their mammogram.

- Females who can give informed consent.

Exclusion Criteria:

- No subject under 18 years of age

Type of Study:


Study Design:

Allocation: Non-Randomized, Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Diagnostic

Outcome Measure:

Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography.

Outcome Time Frame:

Research scan will be completed at the time of scheduled clinical visit.

Safety Issue:


Principal Investigator

Heang-Ping Chan, Ph.D.

Investigator Role:

Principal Investigator

Investigator Affiliation:

University of Michigan


United States: Institutional Review Board

Study ID:




Start Date:

June 2000

Completion Date:

August 2015

Related Keywords:

  • Breast Cancer
  • Breast Abnormalities
  • Congenital Abnormalities
  • Breast Neoplasms



University of Michigan Health System Ann Arbor, Michigan