Medical Image Segmentation On Monuseg

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	F1	Paper Title
Hi-gMISnet	82.50	Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN
U-Net	76.83	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
GTUNet	79.26	LViT: Language meets Vision Transformer in Medical Image Segmentation
Stardist	84.6	Cell Detection with Star-convex Polygons
UNet++	77.01	LViT: Language meets Vision Transformer in Medical Image Segmentation
LoGo	79.56	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
HistoSeg	75.08	HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
LViT-L	81.01	LViT: Language meets Vision Transformer in Medical Image Segmentation
UCTransNet	79.87	LViT: Language meets Vision Transformer in Medical Image Segmentation
LViT-LW	80.66	LViT: Language meets Vision Transformer in Medical Image Segmentation
DoubleUnet-DCA	-	Dual Cross-Attention for Medical Image Segmentation
MedT	79.55	Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
MDM	81.01	Masked Diffusion as Self-supervised Representation Learner

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