Buchumschlag

A hybrid convolutional network for image processing x-ray images for detection of the disease of COVID-19

Gespeichert in:

Bibliographische Detailangaben
Datum:	2022
Hauptverfasser:	Ye. M. Fedorchenko, A. O. Oliinyk, O. O. Stepanenko, T. V. Fedoronchak, M. O. Chornobuk, S. K. Korniienko
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	2022
Schriftenreihe:	Data recording, storage &amp; processing
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0001394114
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

Histological and cytological images classification based on convolutional neural networks
von: O. M. Berezkyi, et al.
Veröffentlicht: (2017)

Determination of Groups of Risks at the Diseases COVID-19
von: O. A. Vahis, et al.
Veröffentlicht: (2020)

Determination of groups of risks at the diseases COVID-19
von: A. A. Vagis, et al.
Veröffentlicht: (2021)

Convolutional neural networks in tasks of agricultural vegetation state monitoring on aerial images
von: V. V. Ganchenko, et al.
Veröffentlicht: (2018)

Detection of structural features of objects using X-ray phase-contrast imaging method
von: A. Ovcharenko, et al.
Veröffentlicht: (2024)

Detection of structural features of objects using X-ray phase-contrast imaging method
von: A. Y. Ovcharenko, et al.
Veröffentlicht: (2024)

Analysis of remote sensing images by methods of convolutional neural networks and marked random point fields
von: Ya. Kosarevych, et al.
Veröffentlicht: (2021)

Determination of the dependence between climatic factors and Covid-19 disease incidence
von: O. P. Mitriasova, et al.
Veröffentlicht: (2021)

Studying the algorithms of segmentation of X-ray TV images of welds for automatic detection of defects
von: Ja. P. Lazorenko, et al.
Veröffentlicht: (2009)

Developing a semantic image model using machine learning based on convolutional neural networks
von: P. I. Andon, et al.
Veröffentlicht: (2020)

Developing a semantic image model using machine learning based on convolutional neural networks
von: Andon, P.I., et al.
Veröffentlicht: (2020)

Method of detecting falsification in medical images
von: Zorylo, V. V., et al.
Veröffentlicht: (2015)

Clinic and complications of COVID-19 coronavirus disease with pathogenesis elements
von: V. P. Malyi, et al.
Veröffentlicht: (2020)

COVID-19: New disease and chaos with panic, associated with stres
von: S. Szabo
Veröffentlicht: (2020)

Using fast algorithms for calculation of the correlation and convolution to prepare reference images
von: Tsybulska, Y. O.
Veröffentlicht: (2018)

Using fast algorithms for calculation of the correlation and convolution to prepare reference images
von: Ye. O. Tsybulska
Veröffentlicht: (2018)

Covid-19 as the new social reality
von: V. Stepanenko
Veröffentlicht: (2020)

Covid-19 as the new social reality
von: V. Stepanenko
Veröffentlicht: (2020)

The coronavirus disease COVID-19&#039;s coverage in Ukrainian and European encyclopedias
von: M. H. Zhelezniak, et al.
Veröffentlicht: (2020)

Medical images of breast tumors diagnostics with application of hybrid CNN–FNN network
von: Yu. Zaychenko, et al.
Veröffentlicht: (2018)

Determination of the dependence between climatic factors and Covid-19 disease incidence
von: Mitryasova, Olena P., et al.
Veröffentlicht: (2021)

Detection of Object in the Image and Determine its Displacement in Two Different Images
von: D. S. Azarenko
Veröffentlicht: (2013)

Fuzzy logic based edge detection in digital images
von: O. I. Moroz
Veröffentlicht: (2016)

Radio and X-ray Images of Extragalactic Sources
von: Bannikova, E. Yu., et al.
Veröffentlicht: (2013)

Study of the coronavirus SARS-CoV-2 and the COVID-19 disease caused by it
von: S. V. Komisarenko
Veröffentlicht: (2021)

Scattered X-ray radiation algorithmic compensation procedure in the X-ray imaging as an alternative to hardware methods
von: Yu. Danyk, et al.
Veröffentlicht: (2021)

Subpixel Detection of Spectrum Images by Photodiode Structures
von: Yegorov, A. D., et al.
Veröffentlicht: (2012)

Subpixel Detection of Spectrum Images by Photodiode Structures
von: Yegorov, A., et al.
Veröffentlicht: (2009)

Hybridization of Divide-and-Conquer technique and Neural Network algorithm for better contrast enhancement in medical images
von: F. Aqel, et al.
Veröffentlicht: (2022)

Enhancing image inpainting through image decomposition and deep neural networks
von: K. Bellaj, et al.
Veröffentlicht: (2023)

The virtual screening application for searching potential antiviral agents to treat COVID-19 disease
von: L. V. Yevsieieva, et al.
Veröffentlicht: (2020)

Apolipoprotein B and oxLDL levels in plasma of patients with diabetes, cardiovascular disease, and COVID-19
von: Tronko, M.D., et al.
Veröffentlicht: (2021)

About the problem of preventing the spread of COVID-19 coronavirus disease among children and adolescents of school age
von: O. V. Bobrova, et al.
Veröffentlicht: (2022)

A prediction of the frequency of non-periodic signals based on convolutional neural networks
von: S. O. Subbotin, et al.
Veröffentlicht: (2018)

Analysis and recovery of low-contrast images by neural network synthesis in comparison with the linear prediction
von: A. A. Stepanenko
Veröffentlicht: (2017)

Object Detection in the Image Recognition Process Using Transformers
von: D. M. Myroniuk, et al.
Veröffentlicht: (2022)

Accuracy assessment of landmine detection by infrared aerial imaging
von: Shklyar, Sergiy, et al.
Veröffentlicht: (2025)

Detection and Recognition of Objects on Images Based on MKV-Classifiers
von: K. V. Murygin
Veröffentlicht: (2013)

Preliminary Processing of Candidates at Detection of Car Plates on Images
von: K. V. Murygin
Veröffentlicht: (2013)

Immunoglobulin isotypes and blood monocyte subpopulations in COVID-19 female patients with different disease severity
von: K. Rebenko, et al.
Veröffentlicht: (2022)