Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy-Reference-Cited by-同舟云学术

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Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy

Published:2021-07-27 Issue: Volume: Page:
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Container-title:2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Jha Debesh,Ali Sharib,Tomar Nikhil Kumar,Riegler Michael A.,Johansen Dag,Johansen Havard D.,Halvorsen Pal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9508505/9508478/09508610.pdf?arnumber=9508610

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating the Joint Angles of an Articulated Microrobotic Instrument Using Optical Coherence Tomography;2024 International Symposium on Medical Robotics (ISMR);2024-06-03

2. Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art;Computers in Biology and Medicine;2024-02

3. Development of a deep learning model for safe direct optical trocar insertion in minimally invasive surgery: an innovative method to prevent trocar injuries;Surgical Endoscopy;2023-08-09

4. Real-time instance segmentation of surgical instruments using attention and multi-scale feature fusion;Medical Image Analysis;2022-10

5. Surgical Tool Datasets for Machine Learning Research: A Survey;International Journal of Computer Vision;2022-07-12

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