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SelfReg-UNet

imported

software/selfreg-unet

Code for the paper "SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation "

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
medical-image-segmentation · medical-imaging · unet · unet-image-segmentation
Regulatory
unknown
built by · 3

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • UNeXt-pytorchmedical-image-segmentation · medical-imaging · unet · unet-image-segmentation

    Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

  • unetmedical-imaging · unet · unet-image-segmentation

    "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

  • CMU-Netmedical-image-segmentation · unet-image-segmentation

    [ISBI 2023] Official Pytorch implementation of "CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network"

  • DAEFormermedical-image-segmentation · unet-image-segmentation

    [MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

  • teeth_segmentationmedical-imaging · unet-image-segmentation

    teeth segmentation using UNet and customize attention module

  • Brain-Tumor-Segmentation-using-UNETR-in-TensorFlowmedical-image-segmentation · unet

    This repository demonstrates the utilization of UNETR for brain tumor segmentation.

sources
  1. api.github.com/repos/ChongQingNoSubway/SelfReg-UNet
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-01-19, 62 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/56.json→ .entries["selfreg-unet"]

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