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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
