scholarly journals Enhancing liver tumor localization accuracy by prior-knowledge-guided motion modeling and a biomechanical model

2019 ◽  
Vol 9 (7) ◽  
pp. 1337-1349
Author(s):  
You Zhang ◽  
Michael R. Folkert ◽  
Xiaokun Huang ◽  
Lei Ren ◽  
Jeffrey Meyer ◽  
...  
Keyword(s):  
Prior Knowledge ◽  
Liver Tumor ◽  
Biomechanical Model ◽  
Tumor Localization ◽  
Motion Modeling ◽  
Localization Accuracy

scholarly journals 4D liver tumor localization using cone-beam projections and a biomechanical model

2019 ◽  
Vol 133 ◽  
pp. 183-192 ◽  
Author(s):  
You Zhang ◽  
Michael R. Folkert ◽  
Bin Li ◽  
Xiaokun Huang ◽  
Jeffrey J. Meyer ◽  
...  
Keyword(s):  
Liver Tumor ◽  
Biomechanical Model ◽  
Cone Beam ◽  
Tumor Localization

TH-EF-BRA-02: A Novel Markerless 4D CBCT Projection Phase Sorting Technique Using Prior Knowledge and Patient Motion Modeling: A Feasibility Study

2016 ◽  
Vol 43 (6Part47) ◽  
pp. 3897-3897
Author(s):  
L Zhang ◽  
Y Zhang ◽  
F Yin ◽  
W Harris ◽  
J Cai ◽  
...  
Keyword(s):  
Prior Knowledge ◽  
Feasibility Study ◽  
Motion Modeling ◽  
Patient Motion ◽  
Sorting Technique

scholarly journals A Deep Learning Approach for Wi-Fi Based People Localization

2018 ◽  
Author(s):  
A. M. Khalili ◽  
Abdel-Hamid Soliman ◽  
Md Asaduzzaman
Keyword(s):  
Deep Learning ◽  
Prior Knowledge ◽  
Building Block ◽  
Learning Approach ◽  
Localization Accuracy ◽  
End To End ◽  
Task Architecture ◽  
Localization Systems

People localization is a key building block in many applications. In this paper, we propose a deep learning based approach that significantly improves the localization accuracy and reduces the runtime of Wi-Fi based localization systems. Three variants of the deep learning approach are proposed, a sub-task architecture, an end-to-end architecture, and an architecture that incorporates prior knowledge. The performance of the three architectures under different conditions is evaluated and the significant improvement of the three architectures over existing approaches is demonstrated.

scholarly journals A Deep Learning Approach for Wi-Fi Based People Localization

2018 ◽  
Author(s):  
A. M. Khalili ◽  
Abdel-Hamid Soliman ◽  
Md Asaduzzaman
Keyword(s):  
Deep Learning ◽  
Prior Knowledge ◽  
Building Block ◽  
Learning Approach ◽  
Localization Accuracy ◽  
End To End ◽  
Task Architecture ◽  
Localization Systems

People localization is a key building block in many applications. In this paper, we propose a deep learning based approach that significantly improves the localization accuracy and reduces the runtime of Wi-Fi based localization systems. Three variants of the deep learning approach are proposed, a sub-task architecture, an end-to-end architecture, and an architecture that incorporates prior knowledge. The performance of the three architectures under different conditions is evaluated and the significant improvement of the three architectures over existing approaches is demonstrated.

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach

2021 ◽  
pp. 47-58
Author(s):  
Bolin Lai ◽  
Yuhsuan Wu ◽  
Xiaoyu Bai ◽  
Xiao-Yun Zhou ◽  
Peng Wang ◽  
...  
Keyword(s):  
Liver Tumor ◽  
Tumor Localization ◽  
Multi Phase
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