Lumbar and pelvic CT image segmentation based on cross-scale feature fusion and linear self-attention mechanism - Li, Chaofan; Chen, Liping; Liu, Qiong; Teng, Jinnan (Scientific reports, 2025)
Keywords: 631/1647/245/1887; 639/166/985; 639/766/930/2735; Accuracy; Algorithms; Computed tomography; Convolutional neural network; Cross-scale feature fusion; Datasets; Deep learning; Fractures; Hip joint; Humanities and Social Sciences; Humans; Image processing; Image Processing, Computer-Assisted - methods; Linear attention mechanism; Lumbar Vertebrae - diagnostic imaging; Machine learning; Magnetic resonance imaging; Methods; multidisciplinary; Neural networks; Pelvic Bones - diagnostic imaging; Pelvis; Pelvis - diagnostic imaging; Science; Science (multidisciplinary); Signal processing; Spine; Spine (lumbar); Tomography, X-Ray Computed - methods; Universal segmentation; Vertebrae; Universal segmentation; Linear attention mechanism; Cross-scale feature fusion; Convolutional neural network