Pixel-Wise Contrastive Learning for Multi-Class Instrument Segmentation in Endoscopic Robotic Surgery Videos Using Dataset-Wide Sample Queues
The accurate segmentation of surgical instruments in endoscopic robotic surgery is a critical challenge due to the intricate and dynamic nature of the surgical environment. Existing segmentation techniques predominantly focus on binary classification, which often falls short in complex scenarios whe...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10710341/ |