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Found 4 papers, 3 papers with code
Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
Motivated by alleviating this workload, we propose a general embeddable method to decrease the usage of labeled real images, using active generated synthetic images.
Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video
However, the high computation cost may limit the application of deep models to time-sensitive tasks such as online surgical video analysis for robotic-assisted surgery.
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images
For live image segmentation, we first translate the live images to fake-cadaveric images with LC-GAN and then perform segmentation on the fake-cadaveric images with models trained on the real cadaveric dataset.
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision
Accurate and real-time surgical instrument segmentation is important in the endoscopic vision of robot-assisted surgery, and significant challenges are posed by frequent instrument-tissue contacts and continuous change of observation perspective.
