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Spots Global Cancer Trial Database for Digital Mammography: Computer-Aided Breast Cancer Diagnosis

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Trial Identification

Brief Title: Digital Mammography: Computer-Aided Breast Cancer Diagnosis

Official Title: Digital Mammography: Computer-Aided Breast Cancer Diagnosis

Study ID: NCT00732433

Conditions

Tumors, Breast

Interventions

digital mammography

Study Description

Brief Summary: 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.

Detailed 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.

Keywords

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: FEMALE

Healthy Volunteers: No

Locations

University of Michigan Health System, Ann Arbor, Michigan, United States

Contact Details

Name: Heang-Ping Chan, Ph.D.

Affiliation: University of Michigan

Role: PRINCIPAL_INVESTIGATOR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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