Diagnosis of pneumonia using convolutional neural networks
Andrey TsarevSergey Namestnikov
Abstract
The problem of the accuracy of the diagnosis of diseases is considered, for the solution it is proposed to use deep learning methods, namely, to develop a neural network for the diagnosis of pneumonia from Xrays. Two approaches were used in the solution: the compilation of a self-developed network and the use of pre-trained models as the basis for creating custom image classifiers
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