Tumor Segmentation Based on Hybrid MR-Images for Radiation Treatment Planning
The development of tumor segmentation method using only MRI hybrid images is considered. Proposed original tumor segmentation algorithms based on different brain MRI methods and use of U-Net convolutional neural network allow evaluate the effectiveness and accuracy of tumor segmentation algorithms using only MRI images and select the most adequate combination of them for specific clinical conditions.
Authors
- Averianova Liliia (ORCID: https://orcid.org/0000-0003-0803-7222)
- Viktor Starenkiy (ORCID: https://orcid.org/0000-0002-6600-3381)
- Andrii Mandrikov
- Yurii Fedurtsia
Institutions
- Kharkiv National University of Radio Electronics (UA)
- State Organization «Grigoriev Institute for Medical Radiology and Oncology of the National Academy of Medical Sciences of Ukraine»
- Kharkiv National Medical University (UA)
- V. N. Karazin Kharkiv National University (UA)
Publication Details
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1109/khpiweek61434.2024.10878093
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00