OCT-Converter
importeddata/oct-converter
Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- pypi.org/project/oct-converter/
- Repository
- github.com/marksgraham/OCT-Converter
- Documentation
- unknown
- Tags
- biobank · dicom · e2e · fda · fundus · heidelberg · oct · python
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- bbmri-fhir-igbiobank
This is the source for the BBMRI.de / GBA Implementation Guide.
- molgenisbiobank
MOLGENIS - for scientific data: management, exploration, integration and analysis.
- MIRAGEoct
Official repository of the paper "MIRAGE: A multimodal foundation model and benchmark for comprehensive retinal OCT image analysis", published in npj Digital Medicine (2025).
- Project-Imaging-Xfundus
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
- AiAiHealthcare.github.iodicom · fda
AiAi code-charity project for Cancer and Tuberculosis screening in Radiology Chest X-Rays (PA - CXR) using Deep Learning powered CAD algorithms. Come join our all-volunteer team to improve the…
- rrwnetfundus
Official repository of the paper "RRWNet: Recursive Refinement Network for Effective Retinal Artery/Vein Segmentation and Classification", published in Expert Systems with Applications (Dec 2024).
- api.github.com/repos/marksgraham/OCT-Converterretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-06-03, 262 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 →
/v1/entries/24.json→ .entries["oct-converter"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.