Papers with Code · CC BY-SA 4.0

Kvasir-SEG

아카이브 평가 58건 · 마지막 적재/변경 2026-10-30

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.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
DUCK-Net	mean Dice 0.9502 mIoU 0.9051 Precision 0.9628 Recall 0.9379	Using DUCK-Net for Polyp Image Segmentation 2023-11-03	코드 1 · 코드 2
EffiSegNet-B5	mean Dice 0.9488 mIoU 0.9065 F-measure 0.9513 Precision 0.9713 Recall 0.9321	EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder 2024-07-23	코드 1
EffiSegNet-B4	mean Dice 0.9483 mIoU 0.9056 F-measure 0.9552 Precision 0.9679 Recall 0.9429	EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder 2024-07-23	코드 1
SegMed	mean Dice 0.947 mIoU 0.899	From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures 2025-01-31	연결 없음
FCB Former	mean Dice 0.9445 mIoU 0.8974	Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation 2022-07-16	코드 1
FCB-SwinV2 Transformer	mean Dice 0.9420 mIoU 0.8973	FCB-SwinV2 Transformer for Polyp Segmentation 2023-02-02	연결 없음
SEP	mean Dice 0.9411 mIoU 0.9002	Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation 2022-11-15	연결 없음
LM-Net	mean Dice 0.9409 mIoU 0.8912 Precision 0.8964 Recall 0.9038	LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation 2025-01-07	코드 1
RAPUNet	mean Dice 0.939 mIoU 0.885	MetaFormer and CNN Hybrid Model for Polyp Image Segmentation 2024-09-16	코드 1
FCBFormer	mean Dice 0.9385 mIoU 0.8903	FCN-Transformer Feature Fusion for Polyp Segmentation 2022-08-17	코드 1 · 코드 2
HarDNet-DFUS	mean Dice 0.9363 mIoU 0.8894	HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation 2022-09-15	코드 1 · 코드 2
SSFormer-L	mean Dice 0.9357 mIoU 0.8905	Stepwise Feature Fusion: Local Guides Global 2022-03-07	코드 1
FCBFormer	mean Dice 0.932	S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging 2024-12-17	코드 1
ESFPNet-L	mean Dice 0.931 mIoU 0.887	ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video 2022-07-15	코드 1
UGCANet	mean Dice 0.928 mIoU 0.881	UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis 2023-07-12	연결 없음
EMCAD	mean Dice 0.928	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 2024-05-11	코드 1
PVT-GCASCADE	mean Dice 0.9274 mIoU 0.8790	G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation 2023-10-24	코드 1
ColonFormer	mean Dice 0.927 mIoU 0.877	ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation 2022-05-17	코드 1
RaBiT	mean Dice 0.927 mIoU 0.873	RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation 2023-07-12	코드 1
GMSRF-Net	mean Dice 0.9263 mIoU 0.8843	GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation 2021-11-20	코드 1
PVT-CASCADE	mean Dice 0.9258 mIoU 0.8776	Medical Image Segmentation via Cascaded Attention Decoding 2023-01-03	코드 1
DuAT	Average MAE 0.023 mean Dice 0.924 mIoU 0.876	DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation 2022-12-21	코드 1
MSRF-Net	mean Dice 0.9217 mIoU 0.8914	MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation 2021-05-16	코드 1
ADSNet	mean Dice 0.92 mIoU 0.871	Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation 2024-05-13	코드 1
CaraNet	Average MAE 0.023 mean Dice 0.918 S-Measure 0.929 max E-Measure 0.968 mIoU 0.865	CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects 2021-08-16	코드 1
TransFuse-L	mean Dice 0.918 mIoU 0.868	TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation 2021-02-16	코드 1
TransFuse-S	mean Dice 0.918 mIoU 0.868	TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation 2021-02-16	코드 1
BDG-Net	Average MAE 0.021 mean Dice 0.915 S-Measure 0.923 max E-Measure 0.972 mIoU 0.865	BDG-Net: Boundary Distribution Guided Network for Accurate Polyp Segmentation 2022-01-03	코드 1
SAM-EG	mean Dice 0.915 mIoU 0.862	SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation 2024-06-21	연결 없음
UniNet	mean Dice 0.915 mIoU 0.857	UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection 2025-02-28	코드 1