Prediction of infiltration degree of ground-glass nodules using a fusion of CT radiomics and deep learning

L Liangliang He Z Zhaoyi Li (Shenzhen Institute for Quantum Science and Engineering, Department of Chemistry, and Department of Physics) Y Yi Duan Y Yonglong Gao Y Ying Zhan Y Yu Du (Key Laboratory of Material Simulation Methods and Software of Ministry of Education, College of Physics) L Lan Jiang (Interdisciplinary Research Center for Soil Microbial Ecology and Land Sustainable Productivity in Dry Areas, Northwest A&F University) N Nan Chen (National Engineering Research Center of Lower-Carbon Catalysis Technology, Dalian National Laboratory for Clean Energy, Dalian Institute of Chemical Physics)

Article Details

Volume / Issue Vol. 16, Issue 1
Published April 25, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

L

Liangliang He

Z

Zhaoyi Li

Shenzhen Institute for Quantum Science and Engineering, Department of Chemistry, and Department of Physics

Y

Yi Duan

Y

Yonglong Gao

Y

Ying Zhan

Y

Yu Du

Key Laboratory of Material Simulation Methods and Software of Ministry of Education, College of Physics

L

Lan Jiang

Interdisciplinary Research Center for Soil Microbial Ecology and Land Sustainable Productivity in Dry Areas, Northwest A&F University

N

Nan Chen

National Engineering Research Center of Lower-Carbon Catalysis Technology, Dalian National Laboratory for Clean Energy, Dalian Institute of Chemical Physics