Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics
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2025
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| author | Anand S. Pandit Andrew Keenlyside Danyal Z. Khan Gerda Reischer Muhammad A. Kamal Nina Yoh Zane Jaunmuktane Anouk Borg Neil L. Dorward Stefanie E. Baldeweg Indran Davagnanam Harpreet Hyare Parashkev Nachev Hani J. Marcus |
| author_facet | Anand S. Pandit Andrew Keenlyside Danyal Z. Khan Gerda Reischer Muhammad A. Kamal Nina Yoh Zane Jaunmuktane Anouk Borg Neil L. Dorward Stefanie E. Baldeweg Indran Davagnanam Harpreet Hyare Parashkev Nachev Hani J. Marcus |
| contents | This open dataset comprises high-resolution T1-weighted contrast-enhanced MRI scans from 136 patients with pituitary neuroendocrine tumors, annotated for tumor segmentation and bilateral intracranial carotid arteries. Co-registered T2-weighted images are provided where available. Accompanying clinical, radiological, pathological and basic radiomic metadata are included. Data are pre-processed and provided in NIfTI format with segmentation masks for automated analysis and validation of radiomic workflows. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18553150 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics Anand S. Pandit Andrew Keenlyside Danyal Z. Khan Gerda Reischer Muhammad A. Kamal Nina Yoh Zane Jaunmuktane Anouk Borg Neil L. Dorward Stefanie E. Baldeweg Indran Davagnanam Harpreet Hyare Parashkev Nachev Hani J. Marcus pituitary tumors MRI radiomics tumor segmentation neuroendocrine This open dataset comprises high-resolution T1-weighted contrast-enhanced MRI scans from 136 patients with pituitary neuroendocrine tumors, annotated for tumor segmentation and bilateral intracranial carotid arteries. Co-registered T2-weighted images are provided where available. Accompanying clinical, radiological, pathological and basic radiomic metadata are included. Data are pre-processed and provided in NIfTI format with segmentation masks for automated analysis and validation of radiomic workflows. |
| title | Mapping Pituitary Neuroendocrine Tumors: An Annotated MRI Dataset Profiling Tumor and Carotid Characteristics |
| topic | pituitary tumors MRI radiomics tumor segmentation neuroendocrine |
| url | https://doi.org/10.5281/zenodo.18553150 |