Digital Mammography: Computer-Aided Breast Cancer Diagnosis



Status:Active, not recruiting
Conditions:Breast Cancer, Cancer, Women's Studies
Therapuetic Areas:Oncology, Reproductive
Healthy:No
Age Range:18 - 80
Updated:9/14/2018
Start Date:June 2000
End Date:January 2020

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The purpose of this study is to develop computer programs to assist radiologists in finding
breast cancer on mammograms and to compare the computer's accuracy of detecting cancers on
direct digital and film mammograms.

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
We found this trial at
1
site
1500 E Medical Center Dr
Ann Arbor, Michigan 48109
(734) 936-4000
University of Michigan Health System The University of Michigan is home to one of the...
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mi
from
Ann Arbor, MI
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