| RAPUNet |
- mean Dice
- 0.9526
- mIoU
- 0.9096
|
MetaFormer and CNN Hybrid Model for Polyp Image Segmentation 2024-09-16 |
코드 1 |
| DUCK-Net |
- mean Dice
- 0.9353
- mIoU
- 0.8785
|
Using DUCK-Net for Polyp Image Segmentation 2023-11-03 |
코드 1 · 코드 2 |
| EMCAD |
- mean Dice
- 0.9231
|
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 2024-05-11 |
코드 1 |
| SegMed |
- mean Dice
- 0.921
- mIoU
- 0.854
|
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures 2025-01-31 |
연결 없음 |
| UniNet |
- mean Dice
- 0.919
- mIoU
- 0.856
|
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection 2025-02-28 |
코드 1 |
| ProMISe |
- mean Dice
- 0.874
- mIoU
- 0.789
|
ProMISe: Promptable Medical Image Segmentation using SAM 2024-03-07 |
코드 1 |
| Meta-Polyp |
- mean Dice
- 0.867
- mIoU
- 0.79
|
Meta-Polyp: a baseline for efficient Polyp segmentation 2023-05-13 |
코드 1 · 코드 2 |
| ResUNet++ + TTA |
- mean Dice
- 0.8474
- mIoU
- 0.8466
|
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation 2021-07-26 |
코드 1 |
| PVT-GCASCADE |
- mean Dice
- 0.8261
- mIoU
- 0.7460
|
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation 2023-10-24 |
코드 1 |
| PVT-CASCADE |
- mean Dice
- 0.8254
- mIoU
- 0.7453
|
Medical Image Segmentation via Cascaded Attention Decoding 2023-01-03 |
코드 1 |
| DuAT |
- mean Dice
- 0.819
- mIoU
- 0.737
- Average MAE
- 0.026
|
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation 2022-12-21 |
코드 1 |
| ESFPNet-L |
- mean Dice
- 0.811
- mIoU
- 0.730
|
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video 2022-07-15 |
코드 1 |
| Polyp-PVT |
- mean Dice
- 0.808
- mIoU
- 0.727
- Average MAE
- 0.031
- S-Measure
- 0.865
- max E-Measure
- 0.913
|
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers 2021-08-16 |
코드 1 · 코드 2 |
| SSFormer-L |
- mean Dice
- 0.802
- mIoU
- 0.721
|
Stepwise Feature Fusion: Local Guides Global 2022-03-07 |
코드 1 |
| UACANet-S |
- mean Dice
- 0.783
- mIoU
- 0.704
- Average MAE
- 0.034
- S-Measure
- 0.848
- max E-Measure
- 0.897
|
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation 2021-07-06 |
코드 1 |
| SAM-EG |
- mean Dice
- 0.774
- mIoU
- 0.689
|
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation 2024-06-21 |
연결 없음 |
| HarDNet-DFUS |
- mean Dice
- 0.774
|
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation 2022-09-15 |
코드 1 · 코드 2 |
| CaraNet |
- mean Dice
- 0.773
- mIoU
- 0.689
- Average MAE
- 0.042
- S-Measure
- 0.853
- max E-Measure
- 0.902
|
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects 2021-08-16 |
코드 1 |
| TransFuse-S |
- mean Dice
- 0.773
- mIoU
- 0.696
|
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation 2021-02-16 |
코드 1 |
| KDAS |
- mean Dice
- 0.759
- mIoU
- 0.679
- Average MAE
- 0.032
|
KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation 2023-12-13 |
코드 1 · 코드 2 |
| COMMA (Res2Net-50) |
- mean Dice
- 0.754
- mIoU
- 0.689
- Average MAE
- 0.037
- S-Measure
- 0.849
- max E-Measure
- 0.897
|
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation 2022-02-17 |
연결 없음 |
| UACANet-L |
- mean Dice
- 0.751
- mIoU
- 0.678
- Average MAE
- 0.039
- S-Measure
- 0.835
- max E-Measure
- 0.878
|
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation 2021-07-06 |
코드 1 |
| TransFuse-L |
- mean Dice
- 0.744
- mIoU
- 0.676
|
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation 2021-02-16 |
코드 1 |
| HarDNet-MSEG |
- mean Dice
- 0.731
- mIoU
- 0.660
|
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS 2021-01-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| PraNet |
- mean Dice
- 0.709
- mIoU
- 0.649
- Average MAE
- 0.045
- S-Measure
- 0.819
- max E-Measure
- 0.869
|
PraNet: Parallel Reverse Attention Network for Polyp Segmentation 2020-06-13 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |