Computer Assisted Objective Assessment of Micro-Neurosurgical Skills From Intraoperative Videos
Author:
Affiliation:
1. IIIT-Bangalore, Bangalore, India
2. Department of Neurosurgery, NIMHANS, Bangalore, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/8782705/10092241/10073606.pdf?arnumber=10073606
Reference33 articles.
1. Automated Vision-Based Microsurgical Skill Analysis in Neurosurgery Using Deep Learning: Development and Preclinical Validation
2. Automated robot-assisted surgical skill evaluation: Predictive analytics approach
3. Tracking of Instruments in Minimally Invasive Surgery for Surgical Skill Analysis
4. Motion Smoothness Metrics for Cannulation Skill Assessment: What Factors Matter?
5. Microneurosurgery
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1. Computer Assisted Phase Recognition of Micro-Neurosurgical Intraoperative Videos;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26
2. Real-Time Surgical Tool Classification and Characterization with Surface-EMG Signals;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14
3. Design-Space Exploration of Systolic Array for Edge Inferencing Applications;The Third International Conference on Artificial Intelligence and Machine Learning Systems;2023-10-25
4. Automated Microsurgical Tool Categorization using a Surface-Based EMG System;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
5. Computer-vision based analysis of the neurosurgical scene – A systematic review;Brain and Spine;2023
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