A method for distinguishing benign and malignant pulmonary nodules based on 3D dual path network aided by <i>K</i>-means clustering analysis.

Author: Dachuan GAO ¹ ; Xiaodan YE ² ; Xuewen HOU ¹ ; Yang CHEN ¹ ; Xue KONG ³ ; Yuanzhong XIE ⁴ ; Shengdong NIE ⁵
Author Information

1. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
2. Department of Radiology, Shanghai Chest Hospital, Shanghai 200030, China.
3. Medical Imaging Center, Tai'an Center Hospital, Tai'an 271000, China.
4. Medical Imaging Center, Tai'an Center Hospital, Tai'an 271000, China. xie01088@126.com.
5. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xie01088@126.com, nsd4647@163.com.
Publication Type:Journal Article
MeSH: Male; Humans; Female; Tomography, X-Ray Computed/methods*; Algorithms; Lung Neoplasms/pathology*; Cluster Analysis
From: Journal of Zhejiang University. Science. B 2022;23(11):957-967
CountryChina
Language:English
Abstract: In the USA, there were about 1 ‍806 ‍590 new cancer cases in 2020, and 606 520 cancer deaths are expected to have occurred in 2021. Lung cancer has become the leading cause of death from cancer in both men and women (Siegel et al., 2020). Clinical studies show that the five-year survival rate of lung cancer patients after early diagnosis and treatment intervention can reach 80%, compared with that of patients having advanced lung cancer. Thus, the early diagnosis of lung cancer is a key factor to reduce mortality.