| Title |
Software for anomaly detection in MRI images / |
| Authors |
Oliinyk, Yurii ; Kapshuk, Mariia ; Oliinyk, Leonid |
| Full Text |
|
| Is Part of |
CEUR workshop proceedings: IDDM 2024: Informatics & data-driven medicine 2024: Proceedings of the 7th international conference on informatics and data-driven medicine, Birmingham, United Kingdom, November 14-16, 2024 / edited by Nataliia Shakhovska, Jianbo Jiao, Ivan Izonin.. Aachen : CEUR-WS. 2024, vol. 3892, p. 160-170.. ISSN 1613-0073 |
| Keywords [eng] |
anomaly detection ; machine learning ; MRI ; neural networks ; software |
| Abstract [eng] |
This article discusses the development of the algorithm and software for detecting the anomalies in MRI images. The main goal of the research is to increase the efficiency and the rate of disease diagnosis by creating a user-friendly and functional application for automatic anomaly detection. Anomaly detection algorithms were researched and software efficiency was tested. .NET platform, HD-BET tool, and ResNet model were chosen for the software development. |
| Published |
Aachen : CEUR-WS |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2024 |
| CC license |
|
