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GLFSU-Net: Global and Local Features Fusion Using Separable U-Net to Improve Anatomical Landmark Detection in 2D X-Ray Radiography ImagesGLFSU-Net: Improving Anatomical Landmark Detection in 2D X-Ray Radiography Images

Jixiang Ding. GLFSU-Net: Global and Local Features Fusion Using Separable U-Net to Improve Anatomical Landmark Detection in 2D X-Ray Radiography ImagesGLFSU-Net: Improving Anatomical Landmark Detection in 2D X-Ray Radiography Images. In Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, ISAIMS 2023, Chengdu, China, October 20-22, 2023. pages 40-50, ACM, 2023. [doi]

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