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Found 5 papers, 2 papers with code
ViT-2SPN: Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT Classification
Optical Coherence Tomography (OCT) is a non-invasive imaging modality essential for diagnosing various eye diseases.
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
Surgical data science has seen rapid advancement due to the excellent performance of end-to-end deep neural networks (DNNs) for surgical video analysis.
A Literature Review on the Smart Wheelchair Systems
The paper acknowledges the commercial challenges faced, like the limitations of indoor usage and the necessity for user training.
Validation of object detection in UAV-based images using synthetic data
Using the synthetic datasets, we analyze detection accuracy in different imaging conditions as a function of the above parameters.
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems.
Ranked #2 on
Surgical phase recognition
on HeiChole Benchmark
