April 5, 2024, 4:42 a.m. | 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

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.03253v1 Announce Type: cross
Abstract: 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 …

abstract algorithms arxiv cs.ai cs.cv cs.lg data dataset datasets development diagnosis disease eess.iv imaging machine machine learning machine learning algorithms management mri planning segmentation staging treatment type

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