Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
Paper • 2503.23507 • Published
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MOGaMBO
MOGaMBO (Multi-Organ Gynaecological Magnetic Resonance Imaging for Brachytherapy-based Oncology) is a single-centre collection of T2-weighted 3D MR scans from 94 patients with locally advanced cervical cancer (FIGO IB2-IVA), imaged on a 1.5T GE Signa Explorer for interstitial and intracavitary brachytherapy planning. Bladder volume was standardised by Foley catheterisation during imaging. Four organs at risk - urinary bladder, rectum, sigmoid colon and femoral heads - were manually contoured by expert radiation oncologists in ITK-SNAP and are distributed as one multi-label mask per case. The data were deidentified and released on Zenodo under CC BY 4.0.
Classes
| id | name |
|---|---|
| 0 | Background |
| 1 | Urinary bladder |
| 2 | Rectum |
| 3 | Sigmoid colon |
| 4 | Femoral heads |
License
CC BY 4.0 (https://zenodo.org/records/15156638)
Citation
Manna, S., Das, S., Ghosh, S. & Bhattacharya, S. (2025). Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation. arXiv preprint arXiv:2503.23507
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