MPFCNet: multi-scale parallel feature fusion convolutional network for 3D knee segmentation from MR images

• Published in: Pattern analysis and applications : PAA Vol. 28; no. 2
• Main Authors: Zhang, Hanzheng, Wu, Qing, Zhao, Xing, Wang, Yuanquan, Zhou, Shoujun, Zhang, Lei, Zhang, Tao
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2025; Springer Nature B.V
• Subjects: Computer Science; Feature extraction; Image segmentation; Joints (anatomy); Knee; Magnetic resonance imaging; Medical imaging; Modules; Original Article; Pattern Recognition; Magnetic resonance imaging (MRI); Attention mechanism; Knee osteoarthritis (KOA); Multi-scale feature fusion; Medical image segmentation

Accurate and automatic segmentation of knee magnetic resonance (MR) images plays a vital role in the diagnosis of osteoarthritis and knee bone diseases. However, the anatomical structure of the knee joint is complex, it is difficult to segment knee joints accurately and efficiently. This paper propo...