Optimization Methods and Transfer Learning for Brain Tumor Detection Model
This research analyzes methods for optimizing the training of convolutional neural networks, the features of using small datasets, and the use of Transfer Learning techniques to improve image recognition accuracy. The results of training these models were compared with each other on a test dataset for recognizing brain tumor in CT images.
Authors
- Serhii Misochenko
- Karina Selivanova (ORCID: https://orcid.org/0000-0003-1002-0761)
- Konstantin Gnetnev
Institutions
- Kharkiv National University of Radio Electronics (UA)
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA)
Publication Details
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1109/khpiweek61434.2024.10878004
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00