Abstract
Machine learning models can detect colorectal cancer with 93.5% sensitivity and 94.0% specificity based on diffuse reflectance spectroscopy (DRS) of superficial tissues. Extended DRS wavelength ranges improve differentiation between cancer and mucosa.
| Original language | English |
|---|---|
| Title of host publication | Translational Biophotonics |
| Subtitle of host publication | Diagnostics and Therapeutics |
| Editors | Zhiwei Huang, Lothar D. Lilge |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510647046 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | Translational Biophotonics: Diagnostics and Therapeutics 2021 - Virtual, Online, Germany Duration: 20 Jun 2021 → 24 Jun 2021 |
Publication series
| Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Volume | 11919 |
| ISSN (Print) | 1605-7422 |
Conference
| Conference | Translational Biophotonics: Diagnostics and Therapeutics 2021 |
|---|---|
| Country/Territory | Germany |
| City | Virtual, Online |
| Period | 20/06/21 → 24/06/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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