Cargando…
Data-centric multi-task surgical phase estimation with sparse scene segmentation
PURPOSE: Surgical workflow estimation techniques aim to divide a surgical video into temporal segments based on predefined surgical actions or objectives, which can be of different granularity such as steps or phases. Potential applications range from real-time intra-operative feedback to automatic...
Autores principales: | Sanchez-Matilla, Ricardo, Robu, Maria, Grammatikopoulou, Maria, Luengo, Imanol, Stoyanov, Danail |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110447/ https://www.ncbi.nlm.nih.gov/pubmed/35505149 http://dx.doi.org/10.1007/s11548-022-02616-0 |
Ejemplares similares
-
MSDESIS: Multi-task stereo disparity estimation and surgical instrument segmentation
por: Psychogyios, Dimitrios, et al.
Publicado: (2022) -
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation
por: Bhattarai, Binod, et al.
Publicado: (2023) -
Automated colonoscopy withdrawal phase duration estimation using cecum detection and surgical tasks classification
por: De Carvalho, Thomas, et al.
Publicado: (2023) -
Large-scale surgical workflow segmentation for laparoscopic sacrocolpopexy
por: Zhang, Yitong, et al.
Publicado: (2022) -
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
por: Jin, Xiaowei, et al.
Publicado: (2022)