Progress in Computer-aided Diagnosis of Lung Nodules based on CT Images

DOI: https://doi.org/10.62517/jmhs.202405209

Author(s)

Ruofeng Yu1, Ruoyu Yu2, Yating Wu3, Shou Fang4,*

Affiliation(s)

1School of Chinese-Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China 2School of Law, Xiamen University Tan Kah Kee College, Zhangzhou, Fujian, China 3School of Humanities and Management, Fujian University of Traditional Chinese Medicine, Putian, Fujian, China 4Radiographic Imaging Management, Affiliatd Hospital of Putian University, Putian, Fujian, China *Corresponding Author.

Abstract

The objective of this study is to review the research progress of computer-aided diagnosis of pulmonary nodules based on CT images. This is done in order to address the challenges posed by the increasing incidence and difficulty of diagnosis of pulmonary nodules. Through an in-depth analysis of the key technologies, algorithms and application cases in the diagnosis of pulmonary nodules, we sought to identify how computer technology can be used to improve the accuracy and efficiency of diagnosis. The study found that CT images have the advantages of high resolution and multi-dimensional reconstruction in the detection of pulmonary nodules. However, interpreting CT images still requires specialized medical knowledge. Computer-aided diagnosis technology can assist doctors to identify lung nodules more accurately, especially for nodules with similar density to the surrounding tissue. This can improve the sensitivity and specificity of diagnosis. In conclusion, the computer-aided diagnosis system based on CT images provides substantial support for the accurate diagnosis of pulmonary nodules, which is beneficial for the improvement of patient health management and the formulation of treatment plans.

Keywords

CT Images; Lung Nodules; Computer-Aided Diagnosis; Research Progress

References

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