HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

Medical Image Segmentation On Kvasir Seg

평가 지표

Average MAE
mean Dice

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Average MAE
mean Dice
Paper TitleRepository
FANet0.81530.8803FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
ResUNet++ + TTA + CRF-0.8508A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation
RUPNet-0.7658RUPNet: Residual upsampling network for real-time polyp segmentation-
TGA-Net-0.8982TGANet: Text-guided attention for improved polyp segmentation
ESFPNet-L-0.931ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video
TransNetR-0.8706TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
ColonSegNet-0.8206Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
COMMA (ResNet-50)0.0240.904COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation-
EffiSegNet-B4-0.9483EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder-
HarDNet-DFUS-0.9363HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation
DoubleUnet-DCA-0.8516Dual Cross-Attention for Medical Image Segmentation
MEGANet(ResNet-34)0.0260.911MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
HarDNet-MSEG0.0250.912HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS
UACANet-S0.0260.905UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
AG-CUResNeSt-0.902AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
SEP-0.9411Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation-
COMMA (Res2Net-50)0.0270.901COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation-
RAPUNet-0.939MetaFormer and CNN Hybrid Model for Polyp Image Segmentation
MSRF-Net-0.9217MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
EMCAD-0.928EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
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