Comparison of serum from lung cancer patients and from patients with benign lung nodule using FTIR spectroscopy-Reference-Cited by-同舟云学术

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Comparison of serum from lung cancer patients and from patients with benign lung nodule using FTIR spectroscopy

Published:2024-02 Issue: Volume:306 Page:123596
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Li Huanyu,Wang Jun,Li Xiaoyun,Zhu Xianhong,Guo Shaomei,Wang Hongluan,Yu Jie,Ye Xiaoqun,He Fan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference20 articles.

1. Lung cancer;Thai;Lancet,2021

2. Automated lung nodule detection and classification using deep learning combined with multiple strategies;Nasrullah;Sensors (basel),2019

3. CT and CEA-based machine learning model for predicting malignant pulmonary nodules;Liu;Cancer Sci.,2022

4. Management of incidental pulmonary nodules: current strategies and future perspectives;Kim;Expert Rev. Respir. Med.,2020

5. A review of lung cancer screening and the role of computer-aided detection;Al Mohammad;Clin. Radiol.,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Metallomic Classification of Pulmonary Nodules Using Blood by Deep-Learning-Boosted Synchrotron Radiation X-ray Fluorescence;Environment & Health;2024-09-04

2. Decoding myasthenia gravis: advanced diagnosis with infrared spectroscopy and machine learning;Scientific Reports;2024-08-20

3. Non-invasive diagnostic test for lung cancer using biospectroscopy and variable selection techniques in saliva samples;The Analyst;2024

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