Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning

Automatic Segmentation of Multiple Structures in Knee Arthroscopy Using Deep Learning

Minimally invasive surgery (MIS) is among the preferred procedures for treating a number of ailments as patients benefit from fast recovery and reduced blood loss. The trade-off is that surgeons lose direct visual contact with the surgical site and have limited intra-operative imaging techniques for...

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Bibliographic Details
Main Authors: Yaqub Jonmohamadi, Yu Takeda, Fengbei Liu, Fumio Sasazawa, Gabriel Maicas, Ross Crawford, Jonathan Roberts, Ajay K. Pandey, Gustavo Carneiro
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Arthroscopy
artificial intelligence
auto segmentation
deep learning
endoscopy
surgery
Online Access:https://ieeexplore.ieee.org/document/9032130/

Internet

https://ieeexplore.ieee.org/document/9032130/

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