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Simulation-to-real domain adaptation with teacher–student learning for endoscopic instrument segmentation
PURPOSE: Segmentation of surgical instruments in endoscopic video streams is essential for automated surgical scene understanding and process modeling. However, relying on fully supervised deep learning for this task is challenging because manual annotation occupies valuable time of the clinical exp...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134307/ https://www.ncbi.nlm.nih.gov/pubmed/33982232 http://dx.doi.org/10.1007/s11548-021-02383-4 |