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Medical Image Segmentation On Monuseg

Metrics

F1

Results

Performance results of various models on this benchmark

Model Name
F1
Paper TitleRepository
Hi-gMISnet82.50Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN
U-Net76.83Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
GTUNet79.26LViT: Language meets Vision Transformer in Medical Image Segmentation
Stardist84.6Cell Detection with Star-convex Polygons
UNet++77.01LViT: Language meets Vision Transformer in Medical Image Segmentation
LoGo79.56Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
HistoSeg75.08HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
LViT-L81.01LViT: Language meets Vision Transformer in Medical Image Segmentation
UCTransNet79.87LViT: Language meets Vision Transformer in Medical Image Segmentation
LViT-LW80.66LViT: Language meets Vision Transformer in Medical Image Segmentation
DoubleUnet-DCA-Dual Cross-Attention for Medical Image Segmentation
MedT79.55Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
MDM81.01Masked Diffusion as Self-supervised Representation Learner
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