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Using Machine Learning as a Diagnostic Tool for Pneumonia Using Chest X-Ray Images
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CXRs are the most commonly performed diagnostic imaging study. A number of variables alter the appearance of the X ray image such as positioning of the patient and depth of inspiration which makes the diagnosis a daunting challenge. In addition, clinicians are faced with reading high volumes of images every shift. We are trying to develop a diagnostic tool using machine learning so that the clinicians can confirm their diagnosis and help reduce the error.
Keywords
Machine Learning, Pneumonia, Chest X-Ray Images, Tensorflow, Keras, Python.
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