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Found 4 papers, 1 papers with code
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning
The Pearson correlation and t-test results reveal significant correlations between lens unfolding delay and lens rotation and significant differences between the intra-operative rotations stability of four groups of lenses.
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos
Semantic segmentation in surgical videos is a prerequisite for a broad range of applications towards improving surgical outcomes and surgical video analysis.
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
In particular, we propose (I) an end-to-end recurrent neural network to recognize the lens-implantation phase and (II) a novel semantic segmentation network to segment the lens and pupil after the implantation phase.
Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization
This module consists of four parallel recurrent CNNs being responsible to detect four relevant phases that have been defined with medical experts.
