Computer-aided detection of breast masses on full field digital mammograms
نویسندگان
چکیده
منابع مشابه
Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for training.
It would be of great value when available databases of screen-film mammography (SFM) images can be used to train full-field digital mammography (FFDM) computer-aided detection (CAD) systems, as compilation of new databases is costly. In this paper, we investigate this possibility. Firstly, we develop a method that converts an FFDM image into an SFM-like representation. In this conversion method...
متن کاملComputer-aided detection system for breast masses on digital tomosynthesis mammograms: preliminary experience.
The purpose of the study was to design a computer-aided detection (CAD) system for breast mass detection on digital breast tomosynthesis (DBT) mammograms and to perform a preliminary evaluation of the performance of this system. Twenty-six patients were imaged with a prototype DBT system. Institutional review board approval and written informed patient consent were obtained. Use of the data set...
متن کاملComputer-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...
متن کاملMicrocalcification Detection in Full Field Digital Mammograms
In this paper we present a complete system to detect breast cancer. Main objective is to support radiologists with automatic, semantic based, search methods directly over medical images. The complete step of microcalcification detection in mammography images is presented. We use a three stage algorithm that allows the detection and classification of microcalcification with satisfactory results.
متن کاملDetection of breast cancer with full-field digital mammography and computer-aided detection.
OBJECTIVE The purpose of this study was to evaluate computer-aided detection (CAD) performance with full-field digital mammography (FFDM). MATERIALS AND METHODS CAD (Second Look, version 7.2) was used to evaluate 123 cases of breast cancer detected with FFDM (Senographe DS). Retrospectively, CAD sensitivity was assessed using breast density, mammographic presentation, histopathology results, ...
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ژورنال
عنوان ژورنال: Medical Physics
سال: 2005
ISSN: 0094-2405
DOI: 10.1118/1.1997327