Deep 3D Convolutional Networks to Segment Bones Affected by Severe Osteoarthritis in CT Scans for PSI-Based Knee Surgical Planning

Deep 3D Convolutional Networks to Segment Bones Affected by Severe Osteoarthritis in CT Scans for PSI-Based Knee Surgical Planning

Segmentation of bony structures in CT scans is a crucial step in knee arthroplasty based on personalized surgical instruments (PSI). As a matter of fact, the success of the surgery depends on the quality of the matching between the patient-specific resection jigs, manufactured exploiting the patient...

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Bibliographic Details
Main Authors: Davide Marzorati, Mattia Sarti, Luca Mainardi, Alfonso Manzotti, Pietro Cerveri
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
3D U-net
bone segmentation
CT~images
deep learning
knee arthroplasty
osteoarthritis
Online Access:https://ieeexplore.ieee.org/document/9241701/

Internet

https://ieeexplore.ieee.org/document/9241701/

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