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+This dataset introduces a Multi-Organ Gynaecological Magnetic Resonance Imaging for Brachytherapy-based Oncology (MOGaMBO) dataset, a novel magnetic resonance imaging dataset aimed to advance research in applications of computational intelligence in brachytherapy diagnosis and organ segmentation for cervical cancer treatment. The dataset comprises high-resolution T2-weighted 3D MR scans from 94 patients with locally advanced cervical cancer (stages IB2–IVA), adhering to FIGO guidelines for interstitial and intra-cavitary brachytherapy. The imaging was performed using a 1.5T GE Signa Explorer scanner, with acquisition parameters TR and TE set to optimal values for soft-tissue contrast at 2600ms and 155ms, respectively, combined with a pixel resolution of 0.5 × 0.5 mm² and 30–50 slices per scan. To ensure dosimetric consistency, bladder volume was standardized via Foley catheterization during imaging. The critical organs-at-risk—urinary bladder, rectum, sigmoid colon, and femoral heads, were manually contoured by expert radiation oncologists using the open-source ITK-SNAP platform, ensuring precise region-of-interest annotations. The dataset underwent rigorous deidentification to protect patient privacy, removing all demographic and identifiable information. MOGaMBO provides a standardized, privacy-compliant resource for developing and validating medical image segmentation or representation learning algorithms, and brachytherapy-related research tools. This dataset addresses a critical gap in accessible, multi-organ imaging resources for the gynaecological brachytherapy dataset, with applications in treatment planning, and AI-driven clinical research.
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+Zenodo Link: https://zenodo.org/records/15156638
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+If you use this dataset, then cite the dataset using the appropriate citation format given in the "Citation" box at the bottom of above URL.
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+- ⁠Data is available in NIfTI format, which is compatible with medical imaging software and easy to process with the Nibabel or SimpleITK libraries in Python.
+- ⁠Segmentation Labels: Organs-at-risk (OARs): Urinary bladder, rectum, sigmoid colon, femoral heads.
+— Labels are stored as multi-label masks (0 = background, 1 = Urinary bladder, 2 = rectum, 3 = sigmoid colon, 4 = femoral heads).
+
+MOGaMBO/  
+├── P1/  
+│   ├── mriP1raw.nii          # Raw 3D T2-weighted MR volume  
+│   ├── mriP1GTM.nii          # Multilabel mask for urinary bladder, rectum, colon, femoral heads (left/right combined)    
+├── P2/  
+│   └── ...  
+├── P94/
+|   └── ...  
+└──
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