openmedical/registry
← registry

aucmedi

imported

software/aucmedi

a framework for Automated Classification of Medical Images

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

aucmedi project image
GitHub preview card for frankkramer-lab/aucmedi. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
maintained
Maturity
deployed
Organization
frankkramer-lab
Country
unknown
Documentation
unknown
Tags
automl · clinical-decision-support · computer-vision · deep-learning · docker · explainable-ai · framework · healthcare-imaging
Regulatory
unknown
built by · 4

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.

  • MIScnnclinical-decision-support · computer-vision · healthcare-imaging

    A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

  • neural-nexusclinical-decision-support · computer-vision · explainable-ai

    Clinical-grade brain tumor diagnostics powered by interpretable deep learning (ResNet-50 + Grad-CAM). Features 3D spatial mapping, BioMistral narratives, and high-fidelity reporting. Engineered for…

  • covid19.MIScnncomputer-vision · healthcare-imaging

    Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

  • sgasautoml · computer-vision

    SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

  • CKD-Stage-Prediction-and-Treatment-AIclinical-decision-support · explainable-ai

    🏥 AI-powered system for Chronic Kidney Disease staging and treatment. Combines a stacking ensemble (CatBoost, XGBoost, LightGBM) with clinical rules to achieve 96.8% accuracy. Includes SHAP…

  • go-dicom-acceleratorhealthcare-imaging

    Open-source prefetch library for prefetching DICOM studies from GCS

sources
  1. api.github.com/repos/frankkramer-lab/aucmedi
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-01, 43 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/21.json→ .entries["aucmedi"]

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