Iterative Morphological Training Set Decomposition for Endoscopic Tool Segmentation
Author:
Affiliation:
1. Smith College,100 Green Street,Picker Engineering Program,Northampton,MA,USA,01063
2. Mount Holyoke College,50 College St,Department of Computer Science,South Hadley,MA,USA,01075
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10636941/10636942/10637195.pdf?arnumber=10637195
Reference19 articles.
1. Enhanced U-Net Tool Segmentation using Hybrid Coordinate Representations of Endoscopic Images
2. Surgical Tool Segmentation with Pose-Informed Morphological Polar Transform of Endoscopic Images
3. Vision-Based Force Feedback Estimation for Robot-Assisted Surgery Using Instrument-Constrained Biomechanical Three-Dimensional Maps
4. Deep Residual Learning for Instrument Segmentation in Robotic Surgery
5. Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
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