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Experiments are described using artificial neural networks to classify cells imaged in cervical smears according to their degree of abnormality. This problem of classification was broken into 3 subtasks, each of which an independent back-propagation neural network was trained to solve. Input patterns were fed to the first network for classification of the(More)
A 36-day-old male, and 2.9 kg infant who was born at 38 weeks' gestation by uncomplicated spontaneous vaginal delivery with Apgar scores of 7 and 9 at 1 and 5 minutes was transferred to the Otolaryngology-Head and Neck Surgery of our academic, tertiary-care center for evaluation of a soft, approximately 2.5 cm long and 1.25 cm-diameter tube like process(More)
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