Deep segmentation leverages geometric pose estimation in computer-aided total knee arthroplasty

Deep segmentation leverages geometric pose estimation in computer-aided total knee arthroplasty

Knee arthritis is a common joint disease that usually requires a total knee arthroplasty. There are multiple surgical variables that have a direct impact on the correct positioning of the implants, and an optimal combination of all these variables is the most challenging aspect of the procedure. Usu...

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Bibliographic Details
Main Authors: Pedro Rodrigues, Michel Antunes, Carolina Raposo, Pedro Marques, Fernando Fonseca, Joao P. Barreto
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Healthcare Technology Letters
Subjects:
orthopaedics
surgery
image registration
bone
medical image processing
diseases
pose estimation
prosthetics
image segmentation
learning (artificial intelligence)
neural nets
knee arthritis
joint disease
computed tomography scan
magnetic resonance imaging
navigation system
surgical flow
computer-aided system
depth cameras
deep learning approach
bone surface
navigation sensor
preoperative 3d model
computer-aided total knee arthroplasty
deep segmentation
geometric pose estimation
rgb cameras
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0078

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https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0078

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