Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules

Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules

Accurate and automatic segmentation of pulmonary nodules in 3D thoracic Computed Tomography (CT) images is of great significance for Computer-Aided medical Diagnosis (CAD) of lung cancer. Currently, this important task remains challenging for lack of the voxel-level annotation and training strategie...

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Bibliographic Details
Main Authors: Wenzhe Wang, Ruiwei Feng, Jintai Chen, Yifei Lu, Tingting Chen, Hongyun Yu, Danny Z. Chen, Jian Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Pulmonary nodule segmentation
3D CT images
R-CNN
active learning
self-paced learning
Online Access:https://ieeexplore.ieee.org/document/8826589/

Internet

https://ieeexplore.ieee.org/document/8826589/

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