| RAPUNet |
- mIoU
- 0.9179
- mean Dice
- 0.9572
|
MetaFormer and CNN Hybrid Model for Polyp Image Segmentation 2024-09-16 |
코드 1 |
| SegMed |
- mIoU
- 0.879
- mean Dice
- 0.936
|
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures 2025-01-31 |
연결 없음 |
| DUCK-Net |
- mIoU
- 0.8788
- mean Dice
- 0.9354
|
Using DUCK-Net for Polyp Image Segmentation 2023-11-03 |
코드 1 · 코드 2 |
| EMCAD |
- mean Dice
- 0.9229
|
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 2024-05-11 |
코드 1 |
| ProMISe |
- mIoU
- 0.750
- mean Dice
- 0.840
|
ProMISe: Promptable Medical Image Segmentation using SAM 2024-03-07 |
코드 1 |
| RSAFormer |
- mean Dice
- 0.835
|
RSAFormer: A method of polyp segmentation with region self-attention transformer 2024-04-01 |
코드 1 |
| ESFPNet-L |
- mIoU
- 0.748
- mean Dice
- 0.823
|
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video 2022-07-15 |
코드 1 |
| DuAT |
- mIoU
- 0.746
- Average MAE
- 0.013
- mean Dice
- 0.822
|
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation 2022-12-21 |
코드 1 |
| PVT-CASCADE |
- mIoU
- 0.7258
- mean Dice
- 0.8007
|
Medical Image Segmentation via Cascaded Attention Decoding 2023-01-03 |
코드 1 |
| SSFormer-L |
- mIoU
- 0.720
- mean Dice
- 0.796
|
Stepwise Feature Fusion: Local Guides Global 2022-03-07 |
코드 1 |
| MEGANet(ResNet-34) |
- mIoU
- 0.709
- mean Dice
- 0.789
|
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation 2023-09-06 |
코드 1 · 코드 2 |
| Meta-Polyp |
- mIoU
- 0.704
- mean Dice
- 0.78
|
Meta-Polyp: a baseline for efficient Polyp segmentation 2023-05-13 |
코드 1 · 코드 2 |
| UACANet-L |
- mIoU
- 0.689
- Average MAE
- 0.012
- mean Dice
- 0.766
- S-Measure
- 0.859
- max E-Measure
- 0.905
|
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation 2021-07-06 |
코드 1 |
| SAM-EG |
- mIoU
- 0.681
- mean Dice
- 0.757
|
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation 2024-06-21 |
연결 없음 |
| CaraNet |
- mIoU
- 0.672
- Average MAE
- 0.017
- mean Dice
- 0.747
- S-Measure
- 0.868
- max E-Measure
- 0.894
|
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects 2021-08-16 |
코드 1 |
| MEGANet(Res2Net-50) |
- mIoU
- 0.665
- mean Dice
- 0.739
|
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation 2023-09-06 |
코드 1 · 코드 2 |
| TransFuse-L |
- mIoU
- 0.661
- mean Dice
- 0.737
|
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation 2021-02-16 |
코드 1 |
| TransFuse-S |
- mIoU
- 0.659
- mean Dice
- 0.733
|
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation 2021-02-16 |
코드 1 |
| HarDNet-DFUS |
- mean Dice
- 0.730
|
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation 2022-09-15 |
코드 1 · 코드 2 |
| COMMA (Res2Net-50) |
- mIoU
- 0.648
- Average MAE
- 0.015
- mean Dice
- 0.711
- S-Measure
- 0.844
- max E-Measure
- 0.887
|
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation 2022-02-17 |
연결 없음 |
| UACANet-S |
- mIoU
- 0.615
- Average MAE
- 0.023
- mean Dice
- 0.694
- S-Measure
- 0.815
- max E-Measure
- 0.851
|
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation 2021-07-06 |
코드 1 |
| HarDNet-MSEG |
- mIoU
- 0.613
- mean Dice
- 0.677
|
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 |
| ResUNet++ |
- mIoU
- 0.7534
- mean Dice
- 0.6364
|
ResUNet++: An Advanced Architecture for Medical Image Segmentation 2019-11-16 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| PraNet |
- mIoU
- 0.5670
- Average MAE
- 0.031
- mean Dice
- 0.6280
- S-Measure
- 0.794
- max E-Measure
- 0.841
|
PraNet: Parallel Reverse Attention Network for Polyp Segmentation 2020-06-13 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| ResUNet++ + TTA |
- mIoU
- 0.7458
- mean Dice
- 0.6136
|
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation 2021-07-26 |
코드 1 |