FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

Benchmark Model Rank Results
medical-image-segmentation-on-2018-dataFANet#6Dice: 0.9176mIoU: 0.8569Recall: 0.9222Precision: 0.9194
medical-image-segmentation-on-chase-db1FANet#3DSC: 0.8108
medical-image-segmentation-on-cvc-clinicdbFANet#24mean Dice: 0.9355
medical-image-segmentation-on-drive-1FANet#3mIoU: 0.6927F1 score: 0.8183Recall: 0.8215Specificity: 0.9826
medical-image-segmentation-on-emFANet#1DSC: 0.9547IoU: 0.9134Recall: 0.9568Specificity: 0.8096
medical-image-segmentation-on-isic-2018-1FANet#5DSC: 87.31
medical-image-segmentation-on-kvasir-segFANet#39mean Dice: 0.8803Average MAE: 0.8153