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medico-sam

imported

software/medico-sam

Segment Anything for Medical Imaging

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

medico-sam project image
GitHub preview card for computational-cell-analytics/medico-sam. 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
active
Maturity
deployed
Organization
computational-cell-analytics
Country
unknown
Homepage
unknown
Repository
github.com/computational-cell-analytics/medico-sam
Documentation
unknown
Tags
interactive-segmentation · medical-image-segmentation · medical-imaging · medico-sam · sam · segment-anything · segmentation · 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.

  • ScribblePromptinteractive-segmentation · medical-imaging · segment-anything · segmentation

    [ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image

  • peft-sammedical-imaging · medico-sam · sam

    Parameter Efficient Fine-Tuning of Segment Anything Model

  • micro-saminteractive-segmentation · segment-anything · segmentation

    Segment Anything for Microscopy

  • TV-SAMmedical-image-segmentation · sam · segment-anything

    Code for TV-SAM, a novel zero-shot segmentation algorithm for multimodal medical images.

  • U-Net-PyTorchmedical-image-segmentation · medical-imaging · segmentation · semantic-segmentation

    🧠 Implement U-Net in PyTorch for effective binary image segmentation, focusing on brain tumor detection with a complete pipeline from data prep to evaluation.

  • lisp-netinteractive-segmentation · medical-image-segmentation · medical-imaging

    Lightweight interactive medical image segmentation via in-context learning. Single dense 2D prompt + interactions → full 3D mask. Runs in-browser.

sources
  1. api.github.com/repos/computational-cell-analytics/medico-sam
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-06, 31 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/36.json→ .entries["medico-sam"]

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