Published October 5, 2024
| Version v2
Dataset
Open
NasalSeg Dataset for Nasal Cavity and Paranasal Sinuses Segmentation from CT Images
Creators
-
Zhang, Yichi
(Contact person)1, 2
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Wang, Jing
(Data curator)3, 4
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Pan, Tan
(Project member)1, 2
- Jiang, Quanlin (Data curator)3
- Ge, Jingjie (Data curator)3
- Guo, Xin (Project member)2
- Jiang, Chen (Project member)2
- Lu, Jie (Data curator)5, 6, 7
- Zhang, Jianning (Data curator)8
- Liu, Xueling (Data curator)9
- Tian, Mei (Supervisor)3, 4
- Qi, Yuan (Project leader)1, 2
- Cheng, Yuan (Project leader)1, 2
- Zuo, Chuantao (Project leader)3, 4
- 1. Artificial Intelligence Innovation and Incubation Institute, Fudan University
- 2. Shanghai Academy of Artificial Intelligence for Science
- 3. Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University
- 4. Human Phenome Institute, Fudan University
- 5. Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University
- 6. Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics
- 7. Key laboratory of Neurodegenerative diseases, Ministry of Education
- 8. Yueyang Hospital of Integrative Chinese & Western Medicine Affiliated to Shanghai11 University of Traditional Chinese Medicine
- 9. Department of Radiology, Huashan Hospital, Fudan University
Description
NasalSeg is the first large-scale, open-access dataset for nasal cavity and paranasal sinus segmentation from 3D CT images. The dataset comprises 130 CT scans with pixel-wise annotation of five anatomical structures including the left nasal cavity, right nasal cavity, nasal pharynx, left maxillary sinus, and right maxillary sinu.
Files
NasalSeg.zip
Files
(224.0 MB)
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