Analysis of Using Deep Learning Techniques for Image Recognition in Healthcare

Student: Shevchuk Sergey

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2020

The present Thesis is devoted to research into application of deep learning methods for image recognition in the field of healthcare. Existing image analysis algorithms are considered in the first chapter. The aspects of training neural networks, issues of data collection and processing, legal aspects are described in the second chapter. The technical aspects of integration into the healthcare IT infrastructure are observed in the third chapter. A model for developing software based on deep learning methods taking into account the peculiarities of the process of creating neural networks and interacting with the medical field is presented in the last chapter.

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