Learning Spatial Configuration Feature for Landmark Localization in Hand X-rays

Medical landmark localization is crucial for treatment planning. Although FCN-based heatmap regression methods have made significant progress, there is a lack of FCN-based research focused on features that can learn spatial configuration between medical landmarks, notwithstanding the well-structured...

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Veröffentlicht in:	Electronics (Basel) 2023-10, Vol.12 (19), p.4038
Hauptverfasser:	Ham, Gyu-Sung, Oh, Kanghan
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Configurations Deep learning Feature maps Learning Localization Machine learning Medical research Neural networks Polar coordinates Regularization Regularization methods X-rays
Online-Zugang:	Volltext
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