Cargando…
Analysis of Cataract Surgery Instrument Identification Performance of Convolutional and Recurrent Neural Network Ensembles Leveraging BigCat
PURPOSE: To develop a method for accurate automated real-time identification of instruments in cataract surgery videos. METHODS: Cataract surgery videos were collected at University of Michigan's Kellogg Eye Center between 2020 and 2021. Videos were annotated for the presence of instruments to...
Autores principales: | Matton, Nicholas, Qalieh, Adel, Zhang, Yibing, Annadanam, Anvesh, Thibodeau, Alexa, Li, Tingyang, Shankar, Anand, Armenti, Stephen, Mian, Shahzad I., Tannen, Bradford, Nallasamy, Nambi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976933/ https://www.ncbi.nlm.nih.gov/pubmed/35363261 http://dx.doi.org/10.1167/tvst.11.4.1 |
Ejemplares similares
-
CatStep: Automated Cataract Surgical Phase Classification and Boundary Segmentation Leveraging Inflated 3D-Convolutional Neural Network Architectures and BigCat
por: Mahmoud, Ossama, et al.
Publicado: (2023) -
Evaluation of the Nallasamy formula: a stacking ensemble machine learning method for refraction prediction in cataract surgery
por: Li, Tingyang, et al.
Publicado: (2023) -
Bilateral Anterior Subcapsular Cataract Development Following Initiation of Enfortumab Vedotin
por: Thibodeau, Alexa, et al.
Publicado: (2021) -
Gender differences in refraction prediction error of five formulas for cataract surgery
por: Zhang, Yibing, et al.
Publicado: (2021) -
Descemet membrane endothelial keratoplasty in a patient with iris-fixated intraocular lens and prior radial keratotomy: a case report
por: Annadanam, Anvesh, et al.
Publicado: (2021)