A Segmentation Method for Lung Parenchyma Image Sequences Based on Superpixels and a Self-Generating Neural Forest

Open Access

Peer-reviewed

Research Article

Xiaolei Liao,

Affiliation College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China
⨯
Juanjuan Zhao,

Affiliation College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China
⨯
Cheng Jiao,

Affiliation PET/CT center of Shanxi coal Central Hospital, Taiyuan, Shanxi, 030024, China
⨯
Lei Lei,

Affiliation College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China
⨯
Yan Qiang ,

* E-mail: 2304700796@qq.com

Affiliation College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China
⨯
Qiang Cui

Affiliation College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China
⨯

Reader Comments (0)

Pulmonary imaging
Is the Subject Area "Pulmonary imaging" applicable to this article?

Thanks for your feedback.
Imaging techniques
Is the Subject Area "Imaging techniques" applicable to this article?

Thanks for your feedback.
Computed axial tomography
Is the Subject Area "Computed axial tomography" applicable to this article?

Thanks for your feedback.
Algorithms
Is the Subject Area "Algorithms" applicable to this article?

Thanks for your feedback.
Neurons
Is the Subject Area "Neurons" applicable to this article?

Thanks for your feedback.
Lung and intrathoracic tumors
Is the Subject Area "Lung and intrathoracic tumors" applicable to this article?

Thanks for your feedback.
Pleurae
Is the Subject Area "Pleurae" applicable to this article?

Thanks for your feedback.
Genetic algorithms
Is the Subject Area "Genetic algorithms" applicable to this article?

Thanks for your feedback.