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...

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Detalles Bibliográficos
Autores principales: Sahu, Manish, Mukhopadhyay, Anirban, Zachow, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
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

Internet

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

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