openmedical/registry
← registry

DOSMA

imported

software/dosma

An AI-powered open-source medical image analysis toolbox

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
deep-learning · medical-image-analysis · mri · musculoskeletal
Regulatory
unknown
built by · 5

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.

  • 3dMRISegmentationmedical-image-analysis · mri

    Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."

  • atommicmedical-image-analysis · mri

    ATOMMIC: Advanced Toolbox for Multitask Medical Imaging Consistency

  • PCRLv2medical-image-analysis · mri

    An official implementation of PCRLv2 (pre-training and fine-tuning code are included).

  • AI-Projects-for-Healthcaremedical-image-analysis

    This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.

  • AUDITmedical-image-analysis

    AUDIT - Analysis & Evaluation Dashboard of Artificial Intelligence

  • breast_cancer_classifiermedical-image-analysis

    Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

sources
  1. api.github.com/repos/ad12/DOSMA
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-08-19, 75 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/59.json→ .entries["dosma"]

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