| Autor: |
Feenstra, Lianne, van der Stel, Stefan D., Da Silva Guimaraes, Marcos, Dashtbozorg, Behdad, Ruers, Theo J. M. |
| Předmět: |
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| Zdroj: |
Journal of Imaging; Feb2024, Vol. 10 Issue 2, p37, 18p |
| Abstrakt: |
The validation of newly developed optical tissue-sensing techniques for tumor detection during cancer surgery requires an accurate correlation with the histological results. Additionally, such an accurate correlation facilitates precise data labeling for developing high-performance machine learning tissue-classification models. In this paper, a newly developed Point Projection Mapping system will be introduced, which allows non-destructive tracking of the measurement locations on tissue specimens. Additionally, a framework for accurate registration, validation, and labeling with the histopathology results is proposed and validated on a case study. The proposed framework provides a more-robust and accurate method for the tracking and validation of optical tissue-sensing techniques, which saves time and resources compared to the available conventional techniques. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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