Fourier transform infrared spectroscopy combined with deep learning and data enhancement for quick diagnosis of abnormal thyroid function
Feilong Yue(Xinjiang University), Xiaoyi Lv(Xinjiang University), Zhiqi Guo(Xinjiang University), Chen Chen(Xinjiang University), Cheng Chen(People's Hospital of Xinjiang Uygur Autonomous Region), Zhaoyun Chen(First Affiliated Hospital of Xinjiang Medical University), Fengbo Zhang(Xinjiang Medical University), Zhaoxia Zhang(Xinjiang Medical University), Ziwei Yan(Zhejiang University)
Cited by 49
Related Papers
Colon cancer diagnosis and staging classification based on machine learning and bioinformatics analysis
|Computers in Biology and Medicine|2022|183
Serum Raman spectroscopy combined with convolutional neural network for rapid diagnosis of HER2-positive and triple-negative breast cancer
|Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy|2022|156
DBAN: An improved dual branch attention network combined with serum Raman spectroscopy for diagnosis of diabetic kidney disease
|Talanta|2023|97
Application of serum SERS technology based on thermally annealed silver nanoparticle composite substrate in breast cancer
|Photodiagnosis and Photodynamic Therapy|2023|91
Efficacy and tolerability of vildagliptin as add‐on therapy to metformin in Chinese patients with type 2 diabetes mellitus
|Diabetes Obesity and Metabolism|2012|80