![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
"The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule ..."
Quan Guo et al. (2023)
- Quan Guo, Chengdi Wang, Jixiang Guo
, Hongli Bai, Xiuyuan Xu, Lan Yang, Jianyong Wang, Nan Chen, Zihuai Wang, Yuncui Gan, Lunxu Liu, Weimin Li, Zhang Yi:
The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks. Comput. Methods Programs Biomed. 229: 107290 (2023)
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.