openmedical/registry
← registry

GeoLS

imported

software/geols

Adding Image-context in the Label Smoothing process via Geodesic distance

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

GeoLS project image
GitHub preview card for adigasu/GeoLS. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
geodesic · geodesic-distances · image-intensity · image-segmentation · label-smoothing · medical-image-analysis · medical-image-segmentation · segmentation
Regulatory
unknown
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.

  • MHA-UNetimage-segmentation · medical-image-analysis · medical-image-segmentation

    [BIBM 2025] The official code for "Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification".

  • federated_heimage-segmentation · medical-image-analysis · segmentation

    Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with…

  • DAEFormermedical-image-analysis · medical-image-segmentation · segmentation

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

  • t-lossimage-segmentation · medical-image-analysis

    Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)

  • AgileFormerimage-segmentation · medical-image-segmentation

    This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"

  • mmsegmentationimage-segmentation · medical-image-segmentation

    OpenMMLab Semantic Segmentation Toolbox and Benchmark.

sources
  1. api.github.com/repos/adigasu/GeoLS
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-04-23, 7 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/27.json→ .entries["geols"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.