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Microcalcifications clusters are subtle signs of breast cancer and are very difficult to diagnose in the mammographic images because of their small size and low contrast with respect to the normal breast tissue. In this paper, we propose an automatic procedure for the identification of microcalcifications clusters to aid the radiologist in the detection of this kind of breast cancer signs.
Breast cancer is the most common cancer in women. Fortunately, in the last years, the percentage of recovery has become higher and higher. The reasons are multiple: prevention, better surgery techniques, better diagnoses. In order to improve diagnostic performance, many Computer Aided Diagnosis systems have been developed in the latest years, which help the radiologists to detect and classify lump-masses...
The paper presents a first implementation of a novel tool to assist radiologists in analyzing screening mammographic images. The software named Assisted Breast Cancer Diagnosis Environment (ABCDE) is able to acquire DICOM images (also in presence of Grayscale Softcopy Presentation State). It is designed to assist the doctor, as a second reader, during the various phases of the diagnosis. The program...
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