Histological and cytological images classification based on convolutional neural networks

Histological and cytological images classification based on convolutional neural networks

Gespeichert in:

Bibliographische Detailangaben
Datum:	2017
Hauptverfasser:	O. M. Berezkyi, O. Y. Pitsun, A. R. Bodnar, T. M. Dolyniuk
Format:	Artikel
Sprache:	English
Veröffentlicht:	2017
Schriftenreihe:	Artificial intelligence
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0000829978
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

Intelligent automated microscopy system of histological and cytological images analysis
von: O. M. Berezkyi, et al.
Veröffentlicht: (2017)

Paralleling process of searching objects on cytological images by a template
von: O. M. Berezkyi, et al.
Veröffentlicht: (2019)

Convolutional neural network model and software for classification of typical pests
von: Bezliudnyi, Y.S., et al.
Veröffentlicht: (2022)

Histological terminology. International terminology of human cytology and histology. – Kyiv: Medicine, 2010. – 304 p.
von: O. Dieltsova, et al.
Veröffentlicht: (2015)

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

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

Application of neural networks in the classification of medical images textures
von: Dzierżak, R., et al.
Veröffentlicht: (2018)

Application of neural networks in the classification of medical images textures
von: R. Dzierїak, et al.
Veröffentlicht: (2018)

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

Transformation of type a "region - region" errors in the automated systems of cytological image analysis
von: O. M. Berezkyi
Veröffentlicht: (2013)

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

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

Architectural and mathematical fundamentals of improvement neural networks for classification of images
von: V. I. Sliusar
Veröffentlicht: (2022)

Using convolutional neural networks for breast cancer diagnosing
von: M. Naderan, et al.
Veröffentlicht: (2019)

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

Ukrainian dactyl alphabet gesture recognition using convolutional neural networks with 3D convolutions
von: S. S. Kondratiuk
Veröffentlicht: (2019)

Image compression module based neural network autoencoders
von: Lesyk, V.O., et al.
Veröffentlicht: (2023)

Simple architecture of convolution neural network for handwritten digit recognition
von: V. V. Lukovich
Veröffentlicht: (2013)

A classification of text as images using neural networks pre-trained on the imagenet
von: V. Slyusar
Veröffentlicht: (2023)

Information technology for the early diagnosys of pneumonia using convolutional neural networks
von: P. M. Radjuk, et al.
Veröffentlicht: (2021)

A model of a convolutional neural network and software for typical insect pests recognition
von: Bezliudnyi, Y.S., et al.
Veröffentlicht: (2021)

Using an ensemble of convolutional neural networks to process remote sensing data
von: E. E. Marushko, et al.
Veröffentlicht: (2018)

Convolutional Neural Networks for Determining the Ion Beam Impact on a Space Debris Object
von: M. O. Redka, et al.
Veröffentlicht: (2023)

Analysis of satellite data time series for forest monitoring using neural networks based on three-dimensional convolutions
von: A. Shelestov, et al.
Veröffentlicht: (2024)

Neural and statistical techniques for remote sensing image classification
von: Grypych, Iu., et al.
Veröffentlicht: (2010)

Fuzzy probabilistic neural network in document classification tasks
von: A. L. Yerokhin, et al.
Veröffentlicht: (2018)

Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
von: E. Mustafayev, et al.
Veröffentlicht: (2021)

Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet
von: Mustafayev, E., et al.
Veröffentlicht: (2021)

A hybrid convolutional network for image processing x-ray images for detection of the disease of COVID-19
von: Ye. M. Fedorchenko, et al.
Veröffentlicht: (2022)

Development and research of a modified convolutional neural network for malaria cell pattern recognition
von: Федорченко, Є. М., et al.
Veröffentlicht: (2023)

Application of convolutional neural networks for improving the accuracy of multistatic localization of radio emission sources
von: Dziuba, Volodymyr
Veröffentlicht: (2025)

Improving face recognition models using convolutional neural networks, metric learning and optimization methods
von: A. M. Litvynchuk, et al.
Veröffentlicht: (2021)

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

Ukrainian dactyl alphabet gesture recognition using cross platform software and convolutional neural networks
von: S. S. Kondratiuk
Veröffentlicht: (2019)

A Convolutional Neural Network Model and Software Tool for Classifying the Presence of a Medical Mask on a Human Face
von: Hryhorenko, Y.S., et al.
Veröffentlicht: (2023)

Implementation of neural network based 2D seismic images super resolution approach
von: Noskov, Oleksii, et al.
Veröffentlicht: (2025)

The Scientific-practical conference of the Ukrainian Association of Cypopathologists "Morphological (cytological and histological) diagnosis of tumors of main localizations using modern research methods"
von: L. S. Bolhova
Veröffentlicht: (2020)

Realization of neural network algorithms for classification of technical state of composite materials by acoustic testing results
von: R. M. Galagan, et al.
Veröffentlicht: (2017)

Application of Deep Learning Neural Network for Classification of Big Data of Astronomic Observations
von: A. A. Gorbunov, et al.
Veröffentlicht: (2017)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
von: Gorbunov, A. A., et al.
Veröffentlicht: (2017)