CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects

Benchmark Model Rank Results
medical-image-segmentation-on-cvc-clinicdbCaraNet#23mean Dice: 0.936Average MAE: 0.007S-Measure: 0.954mIoU: 0.887
medical-image-segmentation-on-cvc-colondbCaraNet#17mean Dice: 0.773Average MAE: 0.042S-Measure: 0.853
medical-image-segmentation-on-etisCaraNet#13mean Dice: 0.747Average MAE: 0.017S-Measure: 0.868
medical-image-segmentation-on-kvasir-segCaraNet#23mean Dice: 0.918Average MAE: 0.023S-Measure: 0.929