A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities
  segmentation
Yin Li Qi Chen Kai Wang Meige Li Liping Si Yingwei Guo Yu Xiong Qixing Wang Yang Qin Ling Xu Patrick van der Smagt Jun Tang Nutan Chen
Multi-modality magnetic resonance imaging data with various sequences
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.