https://angiogenesis-receptor.....com/index.php/a-glob
2) We use the AWing reduction to leverage the essential difference between the pixel values associated with target heatmaps and also the automatic forecast heatmaps. We confirm our CMF-Net by identifying the 24 most appropriate medical landmarks on 150 dental CBCT scans with complicated situations collected from real-world centers. Extensive experiments show it carries out much better than the state-of-the-art deep learning methods, with a typical localization error of 1.108 mm (the medically
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