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Yuan Cheng

University of Nottingham · GB
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Area of research
Industrial and Manufacturing Engineering · Sociology and Political Science
Research interest
Research topics from publications: NasalSeg: A Dataset for Automatic Segmentation of Nasal Cavity and Paranasal Sinuses from 3D CT Images. Representative work: Modern facial surgical planning and therapeutic strategies rely heavily on the precise segmentation of the nasal cavity and paranasal sinuses from computed tomography (CT) images for quantitative analysis. Nevertheless, manual segmentation is labor-intensive and prone to inconsistencies, highlighting the need for automatic segmentation methods. A significant challenge in this field is the lack of publicly available clinical datasets for research. To address this issue, we introduce NagalSeg, the first large-scale, publicly available dataset for nasal cavity and paranasal sinus segmentation. In comparison to existing nasal structure segmentation datasets, which are either private or small-sca
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Recent publications

NasalSeg: A Dataset for Automatic Segmentation of Nasal Cavity and Paranasal Sinuses from 3D CT Images
Scientific Data 2024cited by 8position: middledoi

Grants

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Frequent collaborators

Jingjie Ge · Fudan University1 papers (2024–2024)Yichi Zhang · Fudan University1 papers (2024–2024)Chen Jiang · Sun Yat-sen University Cancer Center1 papers (2024–2024)Xueling Liu · Fudan University1 papers (2024–2024)Yuan Qi · Fudan University1 papers (2024–2024)Jing Wang · Fudan University1 papers (2024–2024)Xin Guo · Central South University1 papers (2024–2024)Jianning Zhang · Sun Yat-sen University1 papers (2024–2024)Jie Lu · Ministry of Education of the People's Republic of China1 papers (2024–2024)Mei Tian · Chinese Academy of Medical Sciences & Peking Union Medical College1 papers (2024–2024) · 1 papers (2024–2024)Chuantao Zuo · Fudan University1 papers (2024–2024)
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