Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuriy Chizhov"'
Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images
Autor:
Ilze Lihacova, Andrey Bondarenko, Yuriy Chizhov, Dilshat Uteshev, Dmitrijs Bliznuks, Norbert Kiss, Alexey Lihachev
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 10; Pages: 2833
In this work, we propose to use an artificial neural network to classify limited data of clinical multispectral and autofluorescence images of skin lesions. Although the amount of data is limited, the deep convolutional neural network classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7dec358755c4c1812aa9d8db1be90f1
https://doi.org/10.3390/jcm11102833
https://doi.org/10.3390/jcm11102833
Publikováno v:
Biophotonics—Riga 2020.
The number of research papers, where neural networks are applied in medical image analysis is growing. There is a proof that Convolutional Neural Networks (CNN) are able to differentiate skin cancer from nevi with greater accuracy than experienced sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ba7a8e20264720200706f94f036db6
https://doi.org/10.1117/12.2582108
https://doi.org/10.1117/12.2582108
Autor:
Andrey Bondarenko, Yuriy Chizhov, Dmitrijs Bliznuks, Dilshat Uteshev, Ilze Lihacova, Alexey Lihachev, Stivens Zolins, Janis Liepins
Publikováno v:
Saratov Fall Meeting 2019: Optical and Nano-Technologies for Biology and Medicine.
This study presents autonomous system for microorganisms’ growth analysis in laboratory environment. As shown in previous research, laser speckle analysis allows detecting submicron changes of substrate with growing bacteria. By using neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c242821bb93a2052164236f8775ef20
https://doi.org/10.1117/12.2564404
https://doi.org/10.1117/12.2564404
Autor:
Andrey Bondarenko, Dilshat Uteshev, Dmitrijs Bliznuks, Ilze Lihacova, Yuriy Chizhov, Alexey Lihachev
Publikováno v:
Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions.
In this study 300 skin lesion (including 32 skin melanomas) multispectral data cubes were analyzed. The multi-step and single step machine learning approaches were analyzed to find the wavebands that provide the most information that helps discrimina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f7ef160c1cf4ba021f5c1595f39f5ea
https://doi.org/10.1117/12.2564382
https://doi.org/10.1117/12.2564382
Autor:
Dmitrijs Bliznuks, Dilshat Uteshev, Alexey Lihachev, Andrey Bondarenko, Yuriy Chizhov, Ilze Lihacova
Publikováno v:
Optics, Photonics and Digital Technologies for Imaging Applications VI.
Non-invasive skin cancer diagnostic methods develop rapidly thanks to Deep Learning and Convolutional Neural Networks (CNN). Currently, two types of diagnostics are popular: (a) using single image taken under white illumination and (b) using multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0360bbf5a85501a9faae162a1dda3215
https://doi.org/10.1117/12.2541764
https://doi.org/10.1117/12.2541764
Publikováno v:
Procedia Computer Science. 104:548-555
This article proposes a method to study the signal coming from the sensors of the smart fabric. The initial stage of the research aims recognition of so-called control points in the signal, which indicates parameters of an athlete running. This resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06c60495dde2b610cce2718348c78aca
Autor:
Yuriy Chizhov, Dmitrijs Bliznuks, Andrey Bondarenko, Dilshat Uteshev, Alexey Lihachev, Katrina Bolochko, Janis Liepins
Publikováno v:
Novel Biophotonics Techniques and Applications V.
The paper proposes an approach of a novel non-contact optical technique for early evaluation of microbial activity. Noncontact evaluation will exploit laser speckle contrast imaging technique in combination with artificial neural network (ANN) based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44552686b1e9b5a87cebcbef10ed1b8e
https://doi.org/10.1117/12.2527193
https://doi.org/10.1117/12.2527193
Autor:
Katrina Bolochko, Dilshat Uteshev, Yuriy Chizhov, Alexey Lihachev, Ilze Lihacova, Dmitrijs Bliznuks, Andrey Bondarenko
Publikováno v:
Diffuse Optical Spectroscopy and Imaging VII.
The goal of our study is to train artificial neural networks (ANN) using multispectral images of melanoma. Since the number of multispectral images of melanomas is limited, we offer to synthesize them from multispectral images of benign skin lesions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54ef3754c48502a4d3e2c6ab684dc175
https://doi.org/10.1117/12.2527173
https://doi.org/10.1117/12.2527173
Publikováno v:
Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference; Vol 2 (2017): Environment. Technology. Resources. Proceedings of the 11th International Scientific and Practical Conference. Volume 2; 147-153
Environment. Technology. Resources: Proceedings of the 11th International Scientific and Practical Conference. Vol.2
Environment. Technology. Resources: Proceedings of the 11th International Scientific and Practical Conference. Vol.2
The present article is a series of publications dedicated to the research of smart fabric sensors integrated into socks and is also part of the project aimed at developing the measuring system based on smart fabric supplied with sensors and intellect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a2758bf03675d15ba9a327cccd0495
http://journals.rta.lv/index.php/ETR/article/view/2567
http://journals.rta.lv/index.php/ETR/article/view/2567