Development of an Automated System Prototype for Recognition of Biomedical Samples

Student: Veselov Igor

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2018

This research considers the development of a prototype of an automated system for recognising biological samples, as well as classifying pleural fluid cells according to the type of disease: oncological pathology and other type of pathology. Author: Veselov Igor. Faculty: Economics, Management and Business Informatics. Work includes 67 pages. The first chapter contains the state of art in image recognition, trends in computer vision, and analysis of the classification process using neural networks. The second one includes the description of the process of prototyping an automated system and designing the best architecture of a convolutional neural network. The third chapter describes development of the system, including results of previous chapters. It also contains results of testing the developed system.

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