Increasing the Accuracy of Determining the Cardiothoracic Ratio with the Help of an Ensemble of Neural Networks
The cardiothoracic ratio is one of the main screening tools for heart health. Cardiothoracic ratio is usually measured manually by a cardiologist or radiologist. In the era of neural networks, which are currently developing very rapidly, we can help doctors automate and improve this process. The use...
Saved in:
| Date: | 2024 |
|---|---|
| Main Authors: | Конюхов, В. Д., Угрімов, С. В. |
| Format: | Article |
| Language: | English Ukrainian |
| Published: |
Інститут енергетичних машин і систем ім. А. М. Підгорного Національної академії наук України
2024
|
| Online Access: | https://journals.uran.ua/jme/article/view/309374 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Journal of Mechanical Engineering |
Institution
Journal of Mechanical EngineeringSimilar Items
Increasing the Accuracy of Determining the Cardiothoracic Ratio with the Help of an Ensemble of Neural Networks
by: Конюхов, В. Д., et al.
Published: (2024)
by: Конюхов, В. Д., et al.
Published: (2024)
Using an Ensemble of Neural Networks for Determining the Diagnostic Parameters of the Vertebrae
by: Конюхов, В. Д.
Published: (2024)
by: Конюхов, В. Д.
Published: (2024)
Using an Ensemble of Neural Networks for Determining the Diagnostic Parameters of the Vertebrae
by: Конюхов, В. Д.
Published: (2024)
by: Конюхов, В. Д.
Published: (2024)
Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm
by: Khodnevych, Yaroslav, et al.
Published: (2025)
by: Khodnevych, Yaroslav, et al.
Published: (2025)
Using an ensemble of convolutional neural networks to process remote sensing data
by: E. E. Marushko, et al.
Published: (2018)
by: E. E. Marushko, et al.
Published: (2018)
Construction of Ensemble of Neural Network for Spacecraft Telemetry Multivariate Time Series Forecasting
by: E. E. Marushko, et al.
Published: (2016)
by: E. E. Marushko, et al.
Published: (2016)
Increasing the accuracy of short-term forecasts of PVSPP generation based on artificial neural networks and taking additional factors into account
by: V. O. Miroshnyk, et al.
Published: (2024)
by: V. O. Miroshnyk, et al.
Published: (2024)
Prediction of Surgery Control Parameters in Cardiology to Optimize the Emission Fraction Values with the Help of Neural Networks
by: O. A. Kryvova, et al.
Published: (2021)
by: O. A. Kryvova, et al.
Published: (2021)
Application of convolutional neural networks for improving the accuracy of multistatic localization of radio emission sources
by: Dziuba, Volodymyr
Published: (2025)
by: Dziuba, Volodymyr
Published: (2025)
Ensuring the accuracy of the approximation of R/T-characteristics of NTC-thermistor based on neural network modeling
by: S. S. Fedin, et al.
Published: (2015)
by: S. S. Fedin, et al.
Published: (2015)
Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method
by: Конюхов, В. Д.
Published: (2025)
by: Конюхов, В. Д.
Published: (2025)
Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method
by: Конюхов, В. Д.
Published: (2025)
by: Конюхов, В. Д.
Published: (2025)
Accuracy increase of determination of resonance effect of liquid core of the Earth on the earth's tides
by: Kutnyi, A. M., et al.
Published: (2010)
by: Kutnyi, A. M., et al.
Published: (2010)
Increasing the reliability of mobile intelligent machines based on deep neural networks
by: S. V. Kovalevskyi, et al.
Published: (2018)
by: S. V. Kovalevskyi, et al.
Published: (2018)
Increasing the Dosing Accuracy of Magnetodynamic Foundry Equipment
by: O. M. Smirnov, et al.
Published: (2021)
by: O. M. Smirnov, et al.
Published: (2021)
Method for increasing the accuracy of PCB image segmentation
by: A. V. Injutin
Published: (2016)
by: A. V. Injutin
Published: (2016)
RESEARCH ON THE EFFECTIVENESS OF THE PROPHET NEURAL NETWORK FOR DETERMINING WIND FLOW PARAMETERS
by: Molyboh , О., et al.
Published: (2025)
by: Molyboh , О., et al.
Published: (2025)
Construction of subsystem determination of attacks in cyberphysical systems by neural network methods
by: O. Belej, et al.
Published: (2021)
by: O. Belej, et al.
Published: (2021)
Accuracy increase of determination of resonance effect of liquid core of the Earth on the earth's tides
by: A. M. Kutnyi, et al.
Published: (2010)
by: A. M. Kutnyi, et al.
Published: (2010)
The least squares method in estimating the accuracy of surface air temperature projections based on ensembles of regional climate models
by: Krakovskа, S.V., et al.
Published: (2023)
by: Krakovskа, S.V., et al.
Published: (2023)
Increase accuracy of phase difference measurement at industrial frequency
by: P. I. Borshchev
Published: (2019)
by: P. I. Borshchev
Published: (2019)
Fuzzy Neural Network for Determine Whether the Results of the Critical Software Testing to Requirements
by: Yu. Titova
Published: (2013)
by: Yu. Titova
Published: (2013)
Brain and Artificial Neural Networks
by: V. V. Storozh
Published: (2013)
by: V. V. Storozh
Published: (2013)
Difficult Decisions in Cardiothoracic Critical Care Surgery. An Evidence-Based Approach /Editor Vassyl A. Lonchyna, 2019
by: O. Chevtchik
Published: (2019)
by: O. Chevtchik
Published: (2019)
Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network
by: A. S. Babichev, et al.
Published: (2009)
by: A. S. Babichev, et al.
Published: (2009)
Convolutional Neural Networks for Determining the Ion Beam Impact on a Space Debris Object
by: M. O. Redka, et al.
Published: (2023)
by: M. O. Redka, et al.
Published: (2023)
Improving the accuracy of thermal power determination of VVER
by: V. I. Borysenko, et al.
Published: (2019)
by: V. I. Borysenko, et al.
Published: (2019)
To the issue of accuracy of determination of irradiation embrittlement coefficient
by: L. I. Chyrko, et al.
Published: (2020)
by: L. I. Chyrko, et al.
Published: (2020)
Formal verification of deep neural networks
by: Panchuk, B.O.
Published: (2024)
by: Panchuk, B.O.
Published: (2024)
Application of neural networks in OLAP-systems
by: Nabibayeva, G.Ch.
Published: (2024)
by: Nabibayeva, G.Ch.
Published: (2024)
Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020)
by: Katerynych, L., et al.
Published: (2020)
Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020)
by: Katerynych, L., et al.
Published: (2020)
Scoring modeling based on neural networks for determining a bank borrower's rating
by: O. M. Vasyliev
Published: (2020)
by: O. M. Vasyliev
Published: (2020)
Some principles to increase ef?ciency ratio of heat pumps performance
by: T. V. Surzhyk
Published: (2012)
by: T. V. Surzhyk
Published: (2012)
Algorithms for numerical implementation of nonlinear integral dynamic models with increased accuracy
by: D. A. Verlan, et al.
Published: (2014)
by: D. A. Verlan, et al.
Published: (2014)
Increase of accuracy of the quantitative estimation of relative duration of conditions of eps objects
by: E. M. Farkhadzade, et al.
Published: (2016)
by: E. M. Farkhadzade, et al.
Published: (2016)
Determining the accuracy of a fuzzy model of the technology foresight
by: A. V. Kupchyn, et al.
Published: (2022)
by: A. V. Kupchyn, et al.
Published: (2022)
On accuracy of the parameter of deep subcriticality determination by the Feynman method
by: V. N. Pavlovich, et al.
Published: (2014)
by: V. N. Pavlovich, et al.
Published: (2014)
Ways to Increase the Efficiency of IT Enterprise Management with the Help of Business Digitalization in the Conditions of Martial Law
by: K. S. Khavrova, et al.
Published: (2022)
by: K. S. Khavrova, et al.
Published: (2022)
Disclination ensembles in graphene
by: Rozhkov, М.А., et al.
Published: (2018)
by: Rozhkov, М.А., et al.
Published: (2018)
Similar Items
-
Increasing the Accuracy of Determining the Cardiothoracic Ratio with the Help of an Ensemble of Neural Networks
by: Конюхов, В. Д., et al.
Published: (2024) -
Using an Ensemble of Neural Networks for Determining the Diagnostic Parameters of the Vertebrae
by: Конюхов, В. Д.
Published: (2024) -
Using an Ensemble of Neural Networks for Determining the Diagnostic Parameters of the Vertebrae
by: Конюхов, В. Д.
Published: (2024) -
Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm
by: Khodnevych, Yaroslav, et al.
Published: (2025) -
Using an ensemble of convolutional neural networks to process remote sensing data
by: E. E. Marushko, et al.
Published: (2018)