Recognition of Human Liver Cancers by Label-free Nonlinear Microscopy and Machine Learning
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Tumor recognition was demonstrated on samples of 150 patients. Neural network classification of ninety-thousand images of colorectal liver metastases, hepatocellular carcinoma and matched liver tissue achieved a sensitivity and a specificity of 91% and 96%.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | Translational Biophotonics |
| Redakteure/-innen | Zhiwei Huang, Lothar D. Lilge |
| Herausgeber (Verlag) | SPIE - The international society for optics and photonics |
| ISBN (elektronisch) | 9781510698055 |
| Publikationsstatus | Veröffentlicht - 18 Dez. 2025 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Band | 13934 |
| ISSN | 1605-7422 |
Konferenz
| Titel | 4th Translational Biophotonics: Diagnostics and Therapeutics |
|---|---|
| Veranstaltungsnummer | 4 |
| Dauer | 22 - 26 Juni 2025 |
| Ort | ICM - International Congress Center Messe München |
| Stadt | München |
| Land | Deutschland |
Externe IDs
| ORCID | /0000-0003-0554-2178/work/201624782 |
|---|---|
| ORCID | /0000-0002-0633-0321/work/201624856 |