Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-glasMedT#6F1: 81.02IoU: 69.61Dice: 81.02
medical-image-segmentation-on-glasLoGo#7F1: 79.68IoU: 67.69Dice: 79.68
medical-image-segmentation-on-glasU-Net#8F1: 76.26IoU: 63.03Dice: 76.26
medical-image-segmentation-on-monusegLoGo#8F1: 79.56IoU: 66.17
medical-image-segmentation-on-monusegMedT#9F1: 79.55IoU: 66.17
medical-image-segmentation-on-monusegU-Net#12F1: 76.83IoU: 62.49