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Classification of Human Organs Based on Ultrasound Images

Student: Soczkij Aleksandr

Supervisor: Elena Kantonistova

Faculty: Faculty of Computer Science

Educational Programme: Machine Learning and Data-Intensive Systems (Master)

Year of Graduation: 2024

The usage of machine learning, including deep learning in the sphere of medicine is growing. In such crucial field of society Artificial Intelligence suits it’s role as an assistant perfectly. Medical ultrasound is one of such fields. This paper captures the analysis of use of deep learning models in the task of classification of human organs. Resolving this problem will enable the possibility of more extensive usage of machine learning concerning medical ultrasound.

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