Papers with Code · CC BY-SA 4.0

CVC-ClinicDB

아카이브 평가 48건 · 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 0.9684 mIoU 0.9343	Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation 2022-07-16	코드 1
RAPUNet	mean Dice 0.961 mIoU 0.926	MetaFormer and CNN Hybrid Model for Polyp Image Segmentation 2024-09-16	코드 1
EMCAD	mean Dice 0.9521	EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 2024-05-11	코드 1
RaBiT	mean Dice 0.951 mIoU 0.911	RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation 2023-07-12	코드 1
Yolo-SAM 2	mean Dice 0.951 mIoU 0.909	Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Model 2024-09-14	코드 1
UGCANet	mean Dice 0.950 mIoU 0.907	UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis 2023-07-12	연결 없음
ESFPNet-L	mean Dice 0.949 mIoU 0.907	ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video 2022-07-15	코드 1
FCBFormer	mean Dice 0.9488	S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging 2024-12-17	코드 1
DuAT	mean Dice 0.948 mIoU 0.906 Average MAE 0.006	DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation 2022-12-21	코드 1
SegMed	mean Dice 0.948 mIoU 0.902	From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures 2025-01-31	연결 없음
DUCK-Net	mean Dice 0.9478 mIoU 0.9009	Using DUCK-Net for Polyp Image Segmentation 2023-11-03	코드 1 · 코드 2
ColonFormer	mean Dice 0.947 mIoU 0.903	ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation 2022-05-17	코드 1
FCBFormer	mean Dice 0.9469 mIoU 0.9020	FCN-Transformer Feature Fusion for Polyp Segmentation 2022-08-17	코드 1 · 코드 2
PVT-GCASCADE	mean Dice 0.9468 mIoU 0.9018	G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation 2023-10-24	코드 1
SSFormer-L	mean Dice 0.9447 mIoU 0.8995	Stepwise Feature Fusion: Local Guides Global 2022-03-07	코드 1
PVT-CASCADE	mean Dice 0.9434 mIoU 0.8998	Medical Image Segmentation via Cascaded Attention Decoding 2023-01-03	코드 1
UniNet	mean Dice 0.942 mIoU 0.895	UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection 2025-02-28	코드 1
MSRF-Net	mean Dice 0.9420	MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation 2021-05-16	코드 1
Hi-gMISnet	mean Dice 0.9419 mIoU 0.9068	Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN 2024-05-20	코드 1
MADGNet	mean Dice 0.9390 mIoU 0.8950	Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention 2024-05-10	코드 1
HarDNet-DFUS	mean Dice 0.939	HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation 2022-09-15	코드 1 · 코드 2
MEGANet(Res2Net-50)	mean Dice 0.938 mIoU 0.894 Average MAE 0.006	MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation 2023-09-06	코드 1 · 코드 2
ADSNet	mean Dice 0.938 mIoU 0.890	Adaptation of Distinct Semantics for Uncertain Areas in Polyp Segmentation 2024-05-13	코드 1
Polar U-Net	mean Dice 0.9374 mIoU 0.8977	Training on Polar Image Transformations Improves Biomedical Image Segmentation 2021-09-29	코드 1
CaraNet	mean Dice 0.936 mIoU 0.887 Average MAE 0.007 S-Measure 0.954 max E-Measure 0.991	CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects 2021-08-16	코드 1
FANet	mean Dice 0.9355	FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation 2021-03-31	코드 1
TransFuse-L	mean Dice 0.934	TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation 2021-02-16	코드 1
COMMA (Res2Net-50)	mean Dice 0.933 mIoU 0.891 Average MAE 0.007 S-Measure 0.956 max E-Measure 0.985	COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation 2022-02-17	연결 없음
HarDNet-MSEG	mean Dice 0.9320	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
SAM-EG	mean Dice 0.931 mIoU 0.879	SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation 2024-06-21	연결 없음