Deep learning in surgical workflow analysis: a review of phase and step recognition
Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …
procedures with statistical models to analyze operations at different semantic levels. This …
Machine and deep learning for workflow recognition during surgery
N Padoy - Minimally Invasive Therapy & Allied Technologies, 2019 - Taylor & Francis
Recent years have seen tremendous progress in artificial intelligence (AI), such as with the
automatic and real-time recognition of objects and activities in videos in the field of computer …
automatic and real-time recognition of objects and activities in videos in the field of computer …
Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions
Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …
from medical images with reliability, accuracy, and speed, which is already transforming …
Mutually improved endoscopic image synthesis and landmark detection in unpaired image-to-image translation
The CycleGAN framework allows for unsupervised image-to-image translation of unpaired
data. In a scenario of surgical training on a physical surgical simulator, this method can be …
data. In a scenario of surgical training on a physical surgical simulator, this method can be …
Automatic, global registration in laparoscopic liver surgery
Purpose The initial registration of a 3D pre-operative CT model to a 2D laparoscopic video
image in augmented reality systems for liver surgery needs to be fast, intuitive to perform …
image in augmented reality systems for liver surgery needs to be fast, intuitive to perform …
Robotic instrument segmentation with image-to-image translation
The semantic segmentation of robotic surgery video and the delineation of robotic
instruments are important for enabling automation. Despite major recent progresses, the …
instruments are important for enabling automation. Despite major recent progresses, the …
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 …
automated surgical scene understanding and process modeling. However, relying on fully …
Cadis: Cataract dataset for image segmentation
M Grammatikopoulou, E Flouty… - arxiv preprint arxiv …, 2019 - arxiv.org
Video feedback provides a wealth of information about surgical procedures and is the main
sensory cue for surgeons. Scene understanding is crucial to computer assisted interventions …
sensory cue for surgeons. Scene understanding is crucial to computer assisted interventions …
Deep learning in surgical process Modeling: A systematic review of workflow recognition
Z Liu, K Chen, S Wang, Y **ao, G Zhang - Journal of Biomedical Informatics, 2025 - Elsevier
Objective: The application of artificial intelligence (AI) in health care has led to a surge of
interest in surgical process modeling (SPM). The objective of this study is to investigate the …
interest in surgical process modeling (SPM). The objective of this study is to investigate the …
Cross-domain conditional generative adversarial networks for stereoscopic hyperrealism in surgical training
Phantoms for surgical training are able to mimic cutting and suturing properties and patient-
individual shape of organs, but lack a realistic visual appearance that captures the …
individual shape of organs, but lack a realistic visual appearance that captures the …