A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation.
Authors
Affiliations (7)
Affiliations (7)
- Department of Otorhinolaryngology, The First People's Hospital of Foshan, Foshan, China.
- Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
- ELTE University, Budapest, Hungary.
- Foundation Robotics Labs, Munich, Germany.
- Department of Otorhinolaryngology, The First People's Hospital of Foshan, Foshan, China. [email protected].
- Department of Otorhinolaryngology, Longgang E.N.T Hospital and Shenzhen Key Laboratory of E.N.T, Shenzhen, China. [email protected].
Abstract
Multi-modality magnetic resonance imaging(MRI) data facilitate the early diagnosis, tumor segmentation, and disease staging in the management of nasopharyngeal carcinoma (NPC). The lack of publicly available, comprehensive datasets limits advancements in diagnosis, treatment planning, and the development of machine learning algorithms for NPC. Addressing this critical need, we introduce the first comprehensive NPC MRI dataset, encompassing MR axial imaging of 277 primary NPC patients. This dataset includes T1-weighted, T2-weighted, and contrast-enhanced T1-weighted sequences, totaling 831 scans. In addition to the corresponding clinical data, manually annotated and labeled segmentations by experienced radiologists offer high-quality data resources from untreated primary NPC.