OEEM

Category

Software & Systems

Subcategory

unknown

License

MIT(osi)

Status

dormant

Maturity

deployed

Organization

xmed-lab

Country

unknown

Homepage

unknown

Repository

github.com/xmed-lab/OEEM

Documentation

unknown

Tags

example-mining · gland-tissue-segmentation · histological-images · medical-imaging · weakly-supervised-segmentation

Regulatory

unknown

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

• HistoSeghistological-images

  HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This…

• WSL4MISweakly-supervised-segmentation

  Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

• 3d-prostate-segmentationmedical-imaging

  Segmentation of prostate from MRI scans

• Abdomen-CT-Image-Segmentationmedical-imaging

  The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.

• ACC-UNetmedical-imaging

  ACC-UNet is A Completely Convolutional UNet model inspired from transformer-based UNets

• active-segmentationmedical-imaging

  ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation

1. api.github.com/repos/xmed-lab/OEEM
   retrieved 2026-08-25 · via github-api

   Machine-imported from GitHub search. Last push 2022-12-21, 35 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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