OpenCodePapers

medical-image-segmentation-on-2018-data

Medical Image Segmentation
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PaperCodeDicemIoURecallPrecisionAHD95ASDModelNameReleaseDate
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature Fusion✓ Link92.7987.226.59141.7074ReN-UNet2025-04-08
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation✓ Link0.9274EMCAD2024-05-11
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation✓ Link0.9260.870DuAT2022-12-21
Stepwise Feature Fusion: Local Guides Global✓ Link0.92300.8614SSFormer-L2022-03-07
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation0.92250.8614Trans2Unet2024-07-24
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation✓ Link0.92240.85340.94020.9022MSRF-Net2021-05-16
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation✓ Link0.91760.85690.92220.9194FANet2021-03-31
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation✓ Link0.91330.84070.64070.9596DoubleUNet2020-06-08
UNet++: A Nested U-Net Architecture for Medical Image Segmentation✓ Link0.89740.9255--Unet++2018-07-18
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation✓ Link0.85010.9240DCSAU-Net2022-02-02
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