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SAAMI

imported

software/saami

Automatic segment and generate masks for any 3D medical images using SAM model without prompt

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

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/AxDante/SAAMI
Documentation
unknown
Tags
3d-segmentation · medical · medical-image-segmentation · medical-imaging · mri · mri-segmentation · saami · sam
Regulatory
unknown
built by · 1

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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    Brainchop: In-browser 3D MRI rendering and segmentation

  • MedNeXtmedical-image-segmentation · medical-imaging · mri-segmentation

    [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

  • medico-sammedical-image-segmentation · medical-imaging · sam

    Segment Anything for Medical Imaging

  • SALT3d-segmentation · medical-image-segmentation

    Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.

  • MRI-MS-Plaques-Segmentation3d-segmentation · mri

    A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.

  • recurrent-decoding-cellmedical-image-segmentation · mri-segmentation

    [AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)

sources
  1. api.github.com/repos/AxDante/SAAMI
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-05-03, 14 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/2.json→ .entries["saami"]

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