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AI-based interpretation of lung ultrasound
Lung ultrasound is an efficient and widespread method used in bedside diagnostic examinations. The interpretation of ultrasound in emergency care is an extremely difficult task, especially for less experienced physicians. The objective of the project is to implement and validate comprehensive AI-based approach using deep learning to assist in identifying diagnostically relevant imaging features and making diagnosis.
Faculty Supervisor:
Gabor Fichtinger
Student:
Partner:
Óbuda University
Discipline:
Computer science
Sector:
Artificial Intelligence; Biotechnology; Other
University:
Queen's University
Program:
Globalink Research Award
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