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Breast cancer is the most common form of cancer among women and the second one in the world trailing behind lung cancer. In this paper, we present a diagnostic algorithm that uses multiple features of ultra-sonography for identifying breast nodule malignancy to provide better chance of a proper treatment. An artificial neural network has been put into operation in the form of multilayer perceptron...
Breast cancer is the fifth most common cause of cancer death and most common cancer among women [14]. With advances in screening, diagnosis, and treatment, the death rate for breast cancer has declined by about 20% over the past decade. Micro-calcifications are calcium deposit which can be identified as tiny areas that are slightly brighter than surrounding tissue [13]. In this paper, we propose a...
Worldwide, breast cancer is the fifth most common cause of cancer death and is the most common cancer among women [14]. With advances in screening, diagnosis, and treatment, the death rate for breast cancer has declined by about 20% over the past decade. Micro-calcifications are calcium deposit, which can be identified as tiny areas that are slightly brighter than surrounding tissues [13]. In this...
Breast cancer, the second-leading cause of cancer deaths in American women, is the disease women fear most all over the world. In this paper, we present an efficient technique that uses multiple features of ultra-sonography and a diagnostic algorithm for identifying breast nodule malignancy to provide better chance of a proper treatment. An artificial neural network has been put into operation in...
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