| Autor: |
Lianne Feenstra, Stefan D. van der Stel, Marcos Da Silva Guimaraes, Behdad Dashtbozorg, Theo J. M. Ruers |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Journal of Imaging, Vol 10, Iss 2, p 37 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2313-433X |
| DOI: |
10.3390/jimaging10020037 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
