Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation
Joint Authors
Deng, Zhuofu
Zhu, Zhiliang
Guo, Qingzhe
Source
Journal of Healthcare Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-24
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Segmentation of liver tumors plays an important role in the choice of therapeutic strategies for liver disease and treatment monitoring.
In this paper, we generalize the process of a level set with a novel algorithm of dynamic regulation to energy functional parameters.
The presented method is fully automatic once the tumor has been detected.
First, a 3D convolutional neural network with dense layers for classification is used to estimate current contour location relative to the tumor boundary.
Second, the output 3D CNN probabilities can dynamically regulate parameters of the level set functional over the process of segmentation.
Finally, for full automation, appropriate initializations and local window size are generated based on the current contour position probabilities.
We demonstrate the proposed method on the dataset of MICCAI 2017 LiTS Challenge and 3DIRCADb that include low contrast and heterogeneous tumors as well as noisy images.
To illustrate the strength of our method, we evaluated it against the state-of-the-art methods.
Compared with the level set framework with fixed parameters, our method performed better significantly with an average DICE improvement of 0.15.
We also analyzed a challenging dataset 3DIRCADb of tumors and obtained a competitive DICE of 0.85±0.06 with the proposed method.
American Psychological Association (APA)
Deng, Zhuofu& Guo, Qingzhe& Zhu, Zhiliang. 2019. Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation. Journal of Healthcare Engineering،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1175206
Modern Language Association (MLA)
Deng, Zhuofu…[et al.]. Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation. Journal of Healthcare Engineering No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1175206
American Medical Association (AMA)
Deng, Zhuofu& Guo, Qingzhe& Zhu, Zhiliang. Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation. Journal of Healthcare Engineering. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1175206
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175206