Abstract
Unlike the orbital missions, in exploration missions the risk of various dermatologic diseases will grow. Artificial intelligence technologies will be instrumental in primary diagnostics of cosmonauts in the conditions of high autonomy. Our investigation demonstrated the feasibility to modify the architecture of convolution neural network VGG16 so that it could be used in diagnostics of skin diseases by medical images with an accuracy of no less than 0.88. In future, this approach could be integrated in a medical care system of space exploration mission for early detection of skin pathologies.
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