Machine learning in lung lesion detection caused by certain diseases
Saved in:
| Date: | 2023 |
|---|---|
| Main Authors: | D. Khoroshchuk, B. B. Liubinskyi |
| Format: | Article |
| Language: | English |
| Published: |
2023
|
| Series: | Mathematical Modeling and Computing |
| Online Access: | http://jnas.nbuv.gov.ua/article/UJRN-0001463874 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Library portal of National Academy of Sciences of Ukraine | LibNAS |
Institution
Library portal of National Academy of Sciences of Ukraine | LibNASSimilar Items
Machine Learning approach for malware detection using executable files features extraction
by: A. A. Voranau, et al.
Published: (2018)
by: A. A. Voranau, et al.
Published: (2018)
Coping strategies in patients with chronic obstructive disease of the lungs
by: V. V. Khramtsova
Published: (2013)
by: V. V. Khramtsova
Published: (2013)
Study of asymmetric dimethylarginine level in patients with ischemic heart disease without coronary atherosclerotic lesion
by: D. M. Sebov, et al.
Published: (2015)
by: D. M. Sebov, et al.
Published: (2015)
Distributed Bayesian machine learning procedures
by: B. A. Beletskij
Published: (2019)
by: B. A. Beletskij
Published: (2019)
Recurrent neural network usage for computer-aided lung cancer detection system
by: B. V. Chapaliuk, et al.
Published: (2019)
by: B. V. Chapaliuk, et al.
Published: (2019)
Machine learning methods for environmental monitoring
by: P. V. Mikava, et al.
Published: (2024)
by: P. V. Mikava, et al.
Published: (2024)
Horizontal and vertical scalability of machine learning methods
by: B. O. Biletskyi
Published: (2019)
by: B. O. Biletskyi
Published: (2019)
Horizontal and Vertical Scalability of Machine Learning Methods
by: Biletskyy, B.O.
Published: (2019)
by: Biletskyy, B.O.
Published: (2019)
Application of machine learning in software engineering: an overview
by: O. G. Moroz, et al.
Published: (2019)
by: O. G. Moroz, et al.
Published: (2019)
Face recognition based on machine learning algorithms
by: N. B. Shakhovska, et al.
Published: (2017)
by: N. B. Shakhovska, et al.
Published: (2017)
Application of machine learning in software engineering: an overview
by: Moroz, O.H., et al.
Published: (2019)
by: Moroz, O.H., et al.
Published: (2019)
On Quantitative Analysis of Certain Model of Transport Machines
by: A. A. Martynjuk, et al.
Published: (2018)
by: A. A. Martynjuk, et al.
Published: (2018)
ALMA: Machine learning breastfeeding chatbot
by: K. Achtaich, et al.
Published: (2023)
by: K. Achtaich, et al.
Published: (2023)
Using machine learning methods in practice
by: Ya. O. Tupalo
Published: (2018)
by: Ya. O. Tupalo
Published: (2018)
Who is a subject in machine learning?
by: V. M. Loktiev
Published: (2024)
by: V. M. Loktiev
Published: (2024)
Minimax deviation strategies for machine learning and recognition with short learning samples
by: M. I. Schlesinger, et al.
Published: (2022)
by: M. I. Schlesinger, et al.
Published: (2022)
Machine Learning algorithms in Big Data context
by: V. M. Tereshchenko, et al.
Published: (2018)
by: V. M. Tereshchenko, et al.
Published: (2018)
Progress in Determination of Protein Spatial Structure Based on Machine Learning
by: B. O. Biletskyi
Published: (2021)
by: B. O. Biletskyi
Published: (2021)
Analysis of fundus images based on machine learning
by: O. V. Karas, et al.
Published: (2024)
by: O. V. Karas, et al.
Published: (2024)
The Principles of Application of Machine Learning in Classification of Network Traffic
by: Ya. M. Antonyuk, et al.
Published: (2018)
by: Ya. M. Antonyuk, et al.
Published: (2018)
The image oversampling using means of machine learning
by: R. O. Tkachenko, et al.
Published: (2016)
by: R. O. Tkachenko, et al.
Published: (2016)
IMPLEMENTING OF MICROSOFT AZURE MACHINE LEARNING TECHNOLOGY FOR ELECTRIC MACHINES OPTIMIZATION
by: Pliugin, V. E., et al.
Published: (2019)
by: Pliugin, V. E., et al.
Published: (2019)
Metalearning as One of the Task of the Machine Learning Problems
by: Savchenko, Ye.A., et al.
Published: (2019)
by: Savchenko, Ye.A., et al.
Published: (2019)
Logical Puzzles Solving Based on Machine Learning
by: S. I. Shapovalova, et al.
Published: (2019)
by: S. I. Shapovalova, et al.
Published: (2019)
Metalearning as One of the Task of the Machine Learning Problems
by: Ye. A. Savchenko, et al.
Published: (2019)
by: Ye. A. Savchenko, et al.
Published: (2019)
Ultrasonography in assessment of epiglottic purulent lesions
by: G. I. Garjuk, et al.
Published: (2016)
by: G. I. Garjuk, et al.
Published: (2016)
Pertinence evaluation system architecture on a basis of learning ontology with planning in a certain domain
by: D. H. Dosyn
Published: (2018)
by: D. H. Dosyn
Published: (2018)
Soybean Diseases Caused by Genus Pseudomonas Phytopathenes Bacteria
by: T. T. Hnatiuk, et al.
Published: (2019)
by: T. T. Hnatiuk, et al.
Published: (2019)
The information-extreme learning algorithm of the infectious diseases diagnosis system
by: A. S. Dovbysh, et al.
Published: (2013)
by: A. S. Dovbysh, et al.
Published: (2013)
The issues of inheritance of certain types of heritage objects: the causes and the ways to improve the legislation
by: A. M. Kondratova
Published: (2015)
by: A. M. Kondratova
Published: (2015)
Correlation between periodontal disease indices and lung cancer in Greek adults: a case — control study
by: N. A. Chrysanthakopoulos
Published: (2016)
by: N. A. Chrysanthakopoulos
Published: (2016)
Nervous system lesions diagnosis in patients with lyme borreliosis
by: Yu. Klius, et al.
Published: (2017)
by: Yu. Klius, et al.
Published: (2017)
The Use of Machine Learning for the Purpose of Combating Bank Fraud
by: I. Caprian
Published: (2023)
by: I. Caprian
Published: (2023)
Application of machine learning to improving numerical weather prediction
by: Yu. Doroshenko, et al.
Published: (2020)
by: Yu. Doroshenko, et al.
Published: (2020)
Machine learning methods analysis in the document classification problem
by: A. P. Zhyrkova, et al.
Published: (2020)
by: A. P. Zhyrkova, et al.
Published: (2020)
Using Machine Learning Methods to Estimate the Cost of Housing
by: V. V. Tretynyk, et al.
Published: (2021)
by: V. V. Tretynyk, et al.
Published: (2021)
Diabetes prediction using an improved machine learning approach
by: S. Lyaqini, et al.
Published: (2021)
by: S. Lyaqini, et al.
Published: (2021)
English Accent Recognition Using Deep Machine Learning
by: A. V. Manokhin, et al.
Published: (2021)
by: A. V. Manokhin, et al.
Published: (2021)
Machine-learning methods for text named entity recognition
by: O. O. Marchenko
Published: (2016)
by: O. O. Marchenko
Published: (2016)
Some Frameworks for Big Data Analytics and Machine Learning
by: A. A. Ursatev
Published: (2016)
by: A. A. Ursatev
Published: (2016)
Similar Items
-
Machine Learning approach for malware detection using executable files features extraction
by: A. A. Voranau, et al.
Published: (2018) -
Coping strategies in patients with chronic obstructive disease of the lungs
by: V. V. Khramtsova
Published: (2013) -
Study of asymmetric dimethylarginine level in patients with ischemic heart disease without coronary atherosclerotic lesion
by: D. M. Sebov, et al.
Published: (2015) -
Distributed Bayesian machine learning procedures
by: B. A. Beletskij
Published: (2019) -
Recurrent neural network usage for computer-aided lung cancer detection system
by: B. V. Chapaliuk, et al.
Published: (2019)