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napari-czann-segment

imported

software/napari-czann-segment

Semantic Segmention and Image2Image using DeepLearning ONNX models packaged as *.czann (or *.czseg) files.

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

record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
apeer · czmodel · deep-learning · image2image · microscopy · onnxruntime · python · semantic-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.

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

  • DCSAU-Netsemantic-segmentation

    [CIBM' 23]: A deeper and more compact split-attention U-Net for medical image segmentation

  • HiFormersemantic-segmentation

    HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

  • med_segmentationsemantic-segmentation

    semantic segmentation for magnetic resonance imaging

  • medico-samsemantic-segmentation

    Segment Anything for Medical Imaging

sources
  1. api.github.com/repos/sebi06/napari-czann-segment
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-30, 9 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/47.json→ .entries["napari-czann-segment"]

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