Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?
<h4>Background/Purpose</h4> The use of MRI as a diagnostic tool has gained popularity in the field of orthopedics. Although 3-dimensional (3D) MRI offers more intuitive visualization and can better facilitate treatment planning than 2-dimensional (2D) MRI, manual segmentation for 3D visu...
Main Authors: | Hyojune Kim, Keewon Shin, Hoyeon Kim, Eui-sup Lee, Seok Won Chung, Kyoung Hwan Koh, Namkug Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550047/?tool=EBI |
Similar Items
-
Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?
by: Hyojune Kim, et al.
Published: (2022-01-01) -
Evaluation of Deltoid Origin Status Following Open and Arthroscopic Repair of Large Rotator Cuff Tears: A Propensity-Matched Case-Control Study
by: Erica Kholinne, et al.
Published: (2020-03-01) -
The relationship between rotator cuff integrity and acromiohumeral distance following open and arthroscopic rotator cuff repair
by: Kholinne Erica, et al.
Published: (2021-01-01) -
Delaminated Tears of the Rotator Cuff: MRI Interpretation with Clinical Correlation
by: Jun-Ho Kim, et al.
Published: (2023-03-01) -
Can “infraspinatus rotational transfer” be a surgical option for severe rotator cuff tears?
by: Doo-Sup Kim, et al.
Published: (2022-09-01)