4 papers
Multi-frame Feature Aggregation for Real-time Instrument Segmentation in Endoscopic Video
Shan Lin, Fangbo Qin, Haonan Peng +3
Deep learning-based methods have achieved promising results on surgical instrument segmentation. However, the high computation cost may limit the application of deep models to time…
LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images
Shan Lin, Fangbo Qin, Yangming Li +3
Intelligent vision is appealing in computer-assisted and robotic surgeries. Vision-based analysis with deep learning usually requires large labeled datasets, but manual data labeli…
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision
Fangbo Qin, Shan Lin, Yangming Li +3
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…
Identifying Pediatric Vascular Anomalies With Deep Learning
Justin Chan, Sharat Raju, Randall Bly +2
Vascular anomalies, more colloquially known as birthmarks, affect up to 1 in 10 infants. Though many of these lesions self-resolve, some types can result in medical complications o…