Machine learning methods for spectrally-resolved imaging analysis in neuro-oncology
To reduce the frequency of relapses after surgical removal a brain tumor, it is critically important to completely remove all affected areas of the brain without disrupting the functionality of vital organs. Therefore, intraoperative differential diagnostics of micro-areas of tumor tissue with their...
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| Main Authors: | T. A. Savelieva, I. D. Romanishkin, A. Ospanov, K. G. Linkov, S. A. Goryajnov, G. V. Pavlova, I. N. Pronin, V. B. Loschenov |
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| Format: | Article |
| Language: | Russian |
| Published: |
Non-profit partnership for development of domestic photodynamic therapy and photodiagnosis "Russian Photodynamic Association"
2024-12-01
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| Series: | Biomedical Photonics |
| Subjects: | |
| Online Access: | https://www.pdt-journal.com/jour/article/view/680 |
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