Computer-aided Diagnosis of Screen Film Mammograms
نویسندگان
چکیده
منابع مشابه
Computer-aided detection system for clustered microcalcifications: comparison of performance on full-field digital mammograms and digitized screen-film mammograms.
We have developed a computer-aided detection (CAD) system to detect clustered microcalcifications automatically on full-field digital mammograms (FFDMs) and a CAD system for screen-film mammograms (SFMs). The two systems used the same computer vision algorithms but their false positive (FP) classifiers were trained separately with sample images of each modality. In this study, we compared the p...
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Introduction Mammography is the most technically demanding radiographic modality, requiring high spatial resolution, excellent low contrast discrimination, and wide dynamic range. The development of dedicated mammography systems [1] in the mid-1960s and the refinements in film-screen technology over its long evolution [2,3] were of critical importance in establishing the benefits of mammography...
متن کاملThe Digital Database for Screening Mammography
The Digital Database for Screening Mammography (DDSM) is a database of digitized film-screen mammograms with associated ground truth and other information. The purpose of this resource is to provide a large set of mammograms in a digital format that may be used by researchers to evaluate and compare the performance of computer-aided detection (CAD) algorithms. The database was completed in the ...
متن کاملComputer aided detection system for clustered microcalcifications :
We have developed a computer-aided detection (CAD) system to detect clustered microcalcification automatically on full-field digital mammograms (FFDMs) and a CAD system for screen-film mammograms (SFMs). The two systems used the same computer vision algorithms but their false positive (FP) classifiers were trained separately with sample images of each modality. In this study, we compared the pe...
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This research investigated the state of art of computer aided detection systems for digital mammograms, and evaluated the related techniques in image pre-processing, feature extraction and classification of digital mammograms. Furthermore, this paper explored the further research directions for next generation CAD for mammograms. It was identified that computer-aided detection techniques for ma...
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