Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements
Abstrak
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.
Topik & Kata Kunci
Penulis (5)
Lianne Feenstra
Stefan D. van der Stel
Marcos Da Silva Guimaraes
Behdad Dashtbozorg
Theo J. M. Ruers
Akses Cepat
- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.3390/jimaging10020037
- Akses
- Open Access ✓