BreastDCEDL
importeddata/breastdcedl
BreastDCEDL is a deep learning–ready DCE-MRI dataset of 2,070 breast cancer patients, sourced from I-SPY1, I-SPY2 and the DUKE cohort.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- CC-BY-4.0(cc)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- zenodo.org/records/15627233
- Repository
- github.com/naomifridman/BreastDCEDL
- Documentation
- unknown
- Tags
- ai · breast-cancer · dataset · dce-mri · deep-learning · dicom-files · her2 · mri · mri-data · pcr · vit
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- mama-synthbreast-cancer · dce-mri · mri
MAMA-SYNTH Challenge @MICCAI 2026 and Deep-Breath 2026.
- BTSC-UNet-ViTmri · vit
🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…
- ccnetdce-mri · mri
Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"
- MRIqualmri · mri-data
A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI
- mrtwinmri · mri-data
Collection of virtual objects for numerical MR experiments.
- bidsmemri-data
Flexible bidsificator for multimodal datasets
- api.github.com/repos/naomifridman/BreastDCEDLretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-07-01, 32 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as CC-BY-4.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/60.json→ .entries["breastdcedl"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.