openmedical/registry
← registry

MIScnn

imported

software/miscnn

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

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

MIScnn project image
GitHub preview card for frankkramer-lab/MIScnn. 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
dormant
Maturity
deployed
Organization
frankkramer-lab
Country
unknown
Homepage
unknown
Repository
github.com/frankkramer-lab/MIScnn
Documentation
unknown
Tags
clinical-decision-support · computer-vision · convolutional-neural-networks · deep-learning · framework · healthcare-imaging · medical-image-analysis · medical-image-processing
Regulatory
unknown
built by · 6

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.

  • covid19.MIScnncomputer-vision · healthcare-imaging · medical-image-analysis · medical-image-processing

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

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

    a framework for Automated Classification of Medical Images

  • go-dicom-acceleratorhealthcare-imaging

    Open-source prefetch library for prefetching DICOM studies from GCS

  • AUDITmedical-image-analysis · medical-image-processing

    AUDIT - Analysis & Evaluation Dashboard of Artificial Intelligence

  • Cancer-Detection-from-Microscopic-Tissue-Images-with-Deep-Learningmedical-image-analysis · medical-image-processing

    Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels

  • Dicom-Image-Registration-Pythonmedical-image-analysis · medical-image-processing

    Dicom Image Registration Program in Python using a modified SimpleITK/SimpleElastix module compiled from source

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

    Machine-imported from GitHub search. Last push 2023-05-10, 425 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/17.json→ .entries["miscnn"]

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