A high-dimensional respiratory motion modeling method based on machine learning
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/05/01
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Journal
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Indian UGC (journal)
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Refrences45
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Zeyang Zhou
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Shan Jiang ORCID (unauthenticated)
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Zhiyong Yang
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Ning Zhou
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Shixing Ma
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Yuhua Li
Cite
Zhou, Zeyang, et al. “A High-Dimensional Respiratory Motion Modeling Method Based on Machine Learning”. Expert Systems With Applications, vol. 242, 2024, p. 122757, https://doi.org/10.1016/j.eswa.2023.122757.
Zhou, Z., Jiang, S., Yang, Z., Zhou, N., Ma, S., & Li, Y. (2024). A high-dimensional respiratory motion modeling method based on machine learning. Expert Systems With Applications, 242, 122757. https://doi.org/10.1016/j.eswa.2023.122757
Zhou Z, Jiang S, Yang Z, Zhou N, Ma S, Li Y. A high-dimensional respiratory motion modeling method based on machine learning. Expert Systems with Applications. 2024;242:122757.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Manufactures
Production management
Operations management
Technology
Mechanical engineering and machinery
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Efficient Selection of Gaussian Kernel SVM Parameters for Imbalanced Data | Genes |
| 4 | 2023 |
Modeling of Respiratory Motion to Support the Minimally Invasive Destruction of Liver Tumors | Sensors |
| 2 | 2022 |
| A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model | International Journal of Computer Assisted Radiology and Surgery |
| 4 | 2022 |
| A novel respiratory follow-up robotic system for thoracic-abdominal puncture | 2021 | |||
| A CT-guided robotic needle puncture method for lung tumours with respiratory motion | Physica Medica |
| 11 | 2020 |
Refrences Analysis
The category
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine 34
is the most frequently represented among the references in this article. It primarily includes studies from Medical Physics The chart below illustrates the number of referenced publications per year.