Automatic Landmark Detection for Preoperative Planning of High Tibial Osteotomy Using Traditional Feature Extraction and Deep Learning Methods

The study demonstrated that the automatic detection method has great potential serving as an alternative to manual radiological analysis in practical surgical pre-operative planning.

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Publication Details

Journal
International Journal of Medical Robotics and Computer Assisted Surgery
Published
2024-11-04
DOI
https://doi.org/10.1002/rcs.70006
Citations
1
Primary Topic
Total Knee Arthroplasty Outcomes
Type
article
Field-Weighted Citation Impact
0.57
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article

Automatic Landmark Detection for Preoperative Planning of High Tibial Osteotomy Using Traditional Feature Extraction and Deep Learning Methods

Haohao Bai, Y. F. Lyu, Xinlong Ma, Jiaqi Han
1 citations
International Journal of Medical Robotics and Computer Assisted Surgery
Total Knee Arthroplasty Outcomes
0.57
article

Automatic Landmark Detection for Preoperative Planning of High Tibial Osteotomy Using Traditional Feature Extraction and Deep Learning Methods

Haohao Bai, Y. F. Lyu, Xinlong Ma, Jiaqi Han
article en
1 citations

Abstract

The study demonstrated that the automatic detection method has great potential serving as an alternative to manual radiological analysis in practical surgical pre-operative planning.

International Journal of Medical Robotics and Computer Assisted SurgeryVol. 20(6)
Tianjin University (CN), Tianjin Hospital (CN)
Openalex Percentile: Top 28%
Total Knee Arthroplasty Outcomes
0.57
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