Medical Image Segmentation On Cvc Clinicdb
المقاييس
mean Dice
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | mean Dice |
|---|---|
| real-time-polyp-detection-localisation-and | 0.9203 |
| ag-curesnest-a-novel-method-for-colon-polyp | 0.9170 |
| comma-propagating-complementary-multi-level | 0.933 |
| pranet-parallel-reverse-attention-network-for | 0.8990 |
| resunet-an-advanced-architecture-for-medical | 0.7955 |
| adaptation-of-distinct-semantics-for | 0.938 |
| ugcanet-a-unified-global-context-aware | 0.950 |
| dual-cross-attention-for-medical-image | 0.9086 |
| medical-image-segmentation-via-cascaded | 0.9434 |
| modality-agnostic-domain-generalizable | 0.9390 |
| self-prompting-polyp-segmentation-in | 0.951 |
| comma-propagating-complementary-multi-level | 0.916 |
| meganet-multi-scale-edge-guided-attention | 0.938 |
| a-comprehensive-study-on-colorectal-polyp | 0.9020 |
| meganet-multi-scale-edge-guided-attention | 0.93 |
| msrf-net-a-multi-scale-residual-fusion | 0.9420 |
| kdas3-knowledge-distillation-via-attention | 0.925 |
| fanet-a-feedback-attention-network-for | 0.9355 |
| adaptive-t-vmf-dice-loss-for-multi-class | 0.9684 |
| uacanet-uncertainty-augmented-context | 0.916 |
| sam-eg-segment-anything-model-with-egde | 0.931 |
| rabit-an-efficient-transformer-using | 0.951 |
| s2s2-semantic-stacking-for-robust-semantic | 0.9488 |
| hardnet-dfus-an-enhanced-harmonically | 0.939 |
| stepwise-feature-fusion-local-guides-global | 0.9447 |
| duat-dual-aggregation-transformer-network-for | 0.948 |
| u-net-convolutional-networks-for-biomedical | 0.8230 |
| a-comprehensive-study-on-colorectal-polyp | 0.9017 |
| fcn-transformer-feature-fusion-for-polyp | 0.9469 |
| unet-a-nested-u-net-architecture-for-medical | 0.7940 |
| m3fpolypsegnet-segmentation-network-with | - |
| transfuse-fusing-transformers-and-cnns-for | 0.934 |
| emcad-efficient-multi-scale-convolutional | 0.9521 |
| caranet-context-axial-reverse-attention | 0.936 |
| training-on-polar-image-transformations | 0.9374 |
| metaformer-and-cnn-hybrid-model-for-polyp | 0.961 |
| g-cascade-efficient-cascaded-graph | 0.9468 |
| transfuse-fusing-transformers-and-cnns-for | 0.918 |
| hardnet-mseg-a-simple-encoder-decoder-polyp | 0.9320 |
| uacanet-uncertainty-augmented-context | 0.926 |
| polyp-sam-can-a-text-guided-sam-perform | 0.915 |
| doubleu-net-a-deep-convolutional-neural | 0.9239 |
| esfpnet-efficient-deep-learning-architecture | 0.949 |
| using-duck-net-for-polyp-image-segmentation-1 | 0.9478 |
| colonformer-an-efficient-transformer-based | 0.947 |