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The classification of tumors is a medical application that poses a big challenge for in the field of breast cancer detection. The use of artificial intelligence and learning machine techniques has transformed the processes of diagnosis and analysis of breast cancer. For instance, the presence of clustered microcalcifications on X-ray mammograms is vital sign for early detection of breast cancer, which...
Mammography is currently the most efficient imaging technique employed in radiology for examining breast cancer. Searching for a suitable, flexible and efficient breast profile segmentation method has been shown to be a herculean task in digital mammography. The extraction of the breast profile region is a fundamental pre-processing step in computer- aided detection of breast cancer. Principally,...
Breast cancer is one of prevalent diseases in women, and can be diagnosed using several tests that include mammogram, ultrasound, MRI and biopsy. Over the years, the use of learning machine and artificial intelligence techniques has transformed the process of diagnosing breast cancer. However, the accurate classification of breast cancer is still a medical challenge faced by researchers. Difficulties...
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