openmedical/registry
← registry

HistoGAN

imported

software/histogan

Code for "Generative Image Translation for Data Augmentation in Colorectal Histopathology Images" full paper at ML4H Workshop at NeurIPS 2019.

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

HistoGAN project image
GitHub preview card for BMIRDS/HistoGAN. 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
BMIRDS
Country
unknown
Documentation
unknown
Tags
artificial-intelligence · cyclegan · data-science · gan · machine-learning · medical-image-analysis · medical-imaging
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.

  • 3DRDN-CycleGANcyclegan · gan

    Deep CNN for performing 3D super resolution on CT/MRI scans

  • MRI_Style_Transfer_using_CycleGANcyclegan · medical-imaging

    Build a Generative adversarial model (modified U-Net) which can generate artificial MRI images of different contrast levels from existing MRI scans.

  • AI-Projects-for-Healthcareartificial-intelligence · medical-image-analysis · medical-imaging

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

  • DP_CXRartificial-intelligence · medical-image-analysis · medical-imaging

    Building an AI model for chest X-ray under patient privacy guarantees

  • This repository contains the implementation for the paper "Enhancing EEG Signal Reconstruction in Cross-Domain Adaptation Using CycleGAN", presented at the 2024 International Conference on…

  • gan-skin-matlabgan · medical-image-analysis

    Example of how to use MATLAB to generate synthetic images of skin lesions.

sources
  1. api.github.com/repos/BMIRDS/HistoGAN
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2021-02-03, 71 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/8.json→ .entries["histogan"]

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