Digital Mammography: Computer-Aided Breast Cancer Diagnosis
This trial is active, not recruiting.
|Sponsor||University of Michigan|
|Start date||June 2000|
|End date||September 2015|
|Trial size||500 participants|
|Trial identifier||NCT00732433, 2000-0227|
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.
|United States||No locations recruiting|
|Other countries||No locations recruiting|
|Intervention model||single group assignment|
Using computer aided programs to assist in detection and characterization of breast lesions in digital mammography.
time frame: Research scan will be completed at the time of scheduled clinical visit.
Female participants from 18 years up to 80 years old.
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
|Official title||Digital Mammography: Computer-Aided Breast Cancer Diagnosis|
|Principal investigator||Heang-Ping Chan, Ph.D.|
|Description||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.|
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