← Medical Image Segmentation
Papers with Code · CC BY-SA 4.0

ETIS-LARIBPOLYPDB

아카이브 평가 25건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

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원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
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