Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data
Attention mechanisms in combination with Temporal Convolutional Networks and adaptive mode windows improve the performance of Surgical Phase Recognition systems and are robust to missing video sections and high variability in phase order.
Authors
- Paula de Toledo (ORCID: https://orcid.org/0000-0002-0086-0591)
- Alfonso Lagares
- Igor Paredes (ORCID: https://orcid.org/0000-0002-3846-4164)
- Javier Pascau (ORCID: https://orcid.org/0000-0003-1484-731X)
- Sara Bordonaba
- Ángela González-Cebrián (ORCID: https://orcid.org/0009-0001-6896-8320)
Institutions
- Research Institute Hospital 12 de Octubre (ES)
- Hospital Universitario 12 De Octubre (ES)
- Institut Municipal d'Assistència Sanitària (ES)
- Universidad Carlos III de Madrid (ES)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.110222
- Citations
- 7
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 14.04
Funders
- Ministerio de Ciencia e Innovación
- Agencia Estatal de Investigación