Robust Colon Tissue Cartography with Semi-Supervision
| Autor: | Dexl Jakob, Benz Michaela, Kuritcyn Petr, Wittenberg Thomas, Bruns Volker, Geppert Carol, Hartmann Arndt, Bischl Bernd, Goschenhofer Jann |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Current Directions in Biomedical Engineering, Vol 8, Iss 2, Pp 344-347 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2364-5504 2022-1088 |
| DOI: | 10.1515/cdbme-2022-1088 |
| Popis: | We explore the task of tissue classification for colon cancer histology in a low label regime comparing a semi-supervised and a supervised learning strategy in a series of experiments. Further, we investigate the model robustness w.r.t. distribution shifts in the unlabeled data and domain shifts across different scanners to prove their practicality in a histology context. By utilizing unlabeled data in addition to nl = 1000 labeled tiles per class, we yield a substantial increase in accuracy from 89.9% to 91.4%. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|