CatStep: Automated Cataract Surgical Phase Classification and Boundary Segmentation Leveraging Inflated 3D-Convolutional Neural Network Architectures and BigCat

OBJECTIVE: Accurate identification of surgical phases during cataract surgery is essential for improving surgical feedback and performance analysis. Time spent in each surgical phase is an indicator of performance, and segmenting out specific phases for further analysis can simplify providing both q...

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Detalles Bibliográficos
Autores principales: Mahmoud, Ossama, Zhang, Han, Matton, Nicholas, Mian, Shahzad I., Tannen, Bradford, Nallasamy, Nambi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694765/
http://dx.doi.org/10.1016/j.xops.2023.100405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694765/
http://dx.doi.org/10.1016/j.xops.2023.100405

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