Standard

Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network. / Fomin, Ivan; Mikhailov, Viktor; Bakhshiev, Aleksandr; Merkulyeva, Natalia; Veshchitskii, Aleksandr; Musienko, Pavel.

в: Studies in Computational Intelligence, Том 736, 01.01.2018, стр. 85-90.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Fomin, I, Mikhailov, V, Bakhshiev, A, Merkulyeva, N, Veshchitskii, A & Musienko, P 2018, 'Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network', Studies in Computational Intelligence, Том. 736, стр. 85-90. https://doi.org/10.1007/978-3-319-66604-4_13, https://doi.org/10.1007/978-3-319-66604-4_13

APA

Fomin, I., Mikhailov, V., Bakhshiev, A., Merkulyeva, N., Veshchitskii, A., & Musienko, P. (2018). Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network. Studies in Computational Intelligence, 736, 85-90. https://doi.org/10.1007/978-3-319-66604-4_13, https://doi.org/10.1007/978-3-319-66604-4_13

Vancouver

Fomin I, Mikhailov V, Bakhshiev A, Merkulyeva N, Veshchitskii A, Musienko P. Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network. Studies in Computational Intelligence. 2018 Янв. 1;736:85-90. https://doi.org/10.1007/978-3-319-66604-4_13, https://doi.org/10.1007/978-3-319-66604-4_13

Author

Fomin, Ivan ; Mikhailov, Viktor ; Bakhshiev, Aleksandr ; Merkulyeva, Natalia ; Veshchitskii, Aleksandr ; Musienko, Pavel. / Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network. в: Studies in Computational Intelligence. 2018 ; Том 736. стр. 85-90.

BibTeX

@article{1094aceb8c524fe6868c5294aa043c4b,
title = "Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network",
abstract = "An automatic analysis of images of the histological slices is one of main steps in process of description of structure of neural network in norm and pathology. Understanding of structure and functions of that networks may help to improve neuro-rehabilitation technologies and to translate experimental data to the clinical practice. Main problem of the automatic analysis is complexity of research object and high variance of its parameters, such as thickness and transparency of slice, intensity and type of histological marker, etc. Variance of parameters make every step of neuron detection very hard and complex task. We represent algorithm of neuron detection on images of spinal cord slices using deep neural network. Networks with different parameters are compared to previous algorithm that based on pixels{\textquoteright} filtration by color.",
keywords = "Deep learning, Image segmentation, NeuN, Neural networks, Neuron detection, Object detection, Spinal cord slices",
author = "Ivan Fomin and Viktor Mikhailov and Aleksandr Bakhshiev and Natalia Merkulyeva and Aleksandr Veshchitskii and Pavel Musienko",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-66604-4_13",
language = "English",
volume = "736",
pages = "85--90",
journal = "Studies in Computational Intelligence",
issn = "1860-949X",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network

AU - Fomin, Ivan

AU - Mikhailov, Viktor

AU - Bakhshiev, Aleksandr

AU - Merkulyeva, Natalia

AU - Veshchitskii, Aleksandr

AU - Musienko, Pavel

PY - 2018/1/1

Y1 - 2018/1/1

N2 - An automatic analysis of images of the histological slices is one of main steps in process of description of structure of neural network in norm and pathology. Understanding of structure and functions of that networks may help to improve neuro-rehabilitation technologies and to translate experimental data to the clinical practice. Main problem of the automatic analysis is complexity of research object and high variance of its parameters, such as thickness and transparency of slice, intensity and type of histological marker, etc. Variance of parameters make every step of neuron detection very hard and complex task. We represent algorithm of neuron detection on images of spinal cord slices using deep neural network. Networks with different parameters are compared to previous algorithm that based on pixels’ filtration by color.

AB - An automatic analysis of images of the histological slices is one of main steps in process of description of structure of neural network in norm and pathology. Understanding of structure and functions of that networks may help to improve neuro-rehabilitation technologies and to translate experimental data to the clinical practice. Main problem of the automatic analysis is complexity of research object and high variance of its parameters, such as thickness and transparency of slice, intensity and type of histological marker, etc. Variance of parameters make every step of neuron detection very hard and complex task. We represent algorithm of neuron detection on images of spinal cord slices using deep neural network. Networks with different parameters are compared to previous algorithm that based on pixels’ filtration by color.

KW - Deep learning

KW - Image segmentation

KW - NeuN

KW - Neural networks

KW - Neuron detection

KW - Object detection

KW - Spinal cord slices

UR - http://www.scopus.com/inward/record.url?scp=85029211162&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-66604-4_13

DO - 10.1007/978-3-319-66604-4_13

M3 - Article

AN - SCOPUS:85029211162

VL - 736

SP - 85

EP - 90

JO - Studies in Computational Intelligence

JF - Studies in Computational Intelligence

SN - 1860-949X

ER -

ID: 28377490