Transfer Learning Approaches for Brain Metastases Screenings
This study highlights the potential of transfer learning and tailored loss functions in medical imaging, while also pointing out the models' limitations in detecting very small tumors in challenging cases.
Authors
- Bair Tuchinov (ORCID: https://orcid.org/0000-0002-8931-9848)
- Е. Л. Амелина (ORCID: https://orcid.org/0000-0001-7537-3846)
- A. Yu. Letyagin (ORCID: https://orcid.org/0000-0002-9293-4083)
- Roman M. Kenzhin (ORCID: https://orcid.org/0000-0001-9933-4745)
- Minh Sao Khue Luu (ORCID: https://orcid.org/0000-0002-6766-4966)
- Victor Suvorov (ORCID: https://orcid.org/0009-0007-1128-8053)
Institutions
- Russian Academy of Sciences (RU)
- Novosibirsk State University (RU)
- Institute of Cytology and Genetics (RU)
- Federal Neurosurgical Center Novosibirsk (RU)
- Institute of Clinical and Experimental Lymphology (RU)
Publication Details
- Journal
- Biomedicines
- Published
- 2024-11-08
- DOI
- https://doi.org/10.3390/biomedicines12112561
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Analytical Center for the Government of the Russian Federation