Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation

Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation

Abstract Background Convolutional neural networks (CNNs) have been extensively applied to two-dimensional (2D) medical image segmentation, yielding excellent performance. However, their application to three-dimensional (3D) nodule segmentation remains a challenge. Methods In this study, we propose a...

Full description

Bibliographic Details
Main Authors: Xianling Dong, Shiqi Xu, Yanli Liu, Aihui Wang, M. Iqbal Saripan, Li Li, Xiaolei Zhang, Lijun Lu
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Cancer Imaging
Subjects:
Deep learning
Multi-view
Medical image
Three-dimensional segmentation
Secondary input
Residual block
Online Access:http://link.springer.com/article/10.1186/s40644-020-00331-0

Internet

http://link.springer.com/article/10.1186/s40644-020-00331-0

Similar Items