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The captured images must be understood for analysis, prognosis and therapy planning for the anomalies. Health image understanding is normally done by competent medical experts. Nonetheless, the scarce accessibility to personal experts while the tiredness and harsh estimate treatments involved with them reduce effectiveness of image understanding done by competent medical experts. Convolutional neural networks (CNNs) are effective tools for image understanding. They've outperforme
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