Zobrazeno 1 - 7
of 7
pro vyhledávání: '"U. A. Lyakhova"'
Autor:
A. A. Dolgalev, A. A. Muraev, P. A. Lyakhov, U. A. Lyakhova, D. Z. Choniashvili, K. E. Zolotayev, D. Yu. Semerikov, V. M. Avanisyan
Publikováno v:
Medical alphabet. :54-64
Introduction. Medicine is currently considered one of the strategic and promising areas for effective implementation of artificial intelligence. Artificial intelligence in dentistry is a method of creating a second informed opinion that is based on m
Autor:
Pavel A. Lyakhov, U. A. Lyakhova
Publikováno v:
Компьютерная оптика, Vol 45, Iss 5, Pp 728-735 (2021)
The article proposes a neural network classification system for pigmented skin neoplasms with a preliminary processing stage to remove hair from the images. The main difference of the proposed system is the use of the stage of preliminary image proce
Autor:
Pavel A. Lyakhov, U. A. Lyakhova
Publikováno v:
2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT).
The main problem in the application of artificial intelligence in the field of dermatology is the low level of accuracy of recognition and classification systems. This paper proposes a method for identifying and cleaning hair, as well as evaluating t
Publikováno v:
MECO
The paper proposes a system for determining malignant skin neoplasms. The use of convolutional neural networks for determining skin tumors from images is considered. A convolutional neural network of deep learning has been developed and modeled, whic
Publikováno v:
Journal of Physics: Conference Series. 2052:012023
The article presents a system for the recognition of malignant pigmented skin neoplasms with a preliminary processing stage. Image pre-processing consists of removing hair structures from images, as well as resizing images and their further augmentat
Publikováno v:
Applied Sciences
Volume 11
Issue 16
Applied Sciences, Vol 11, Iss 7213, p 7213 (2021)
Volume 11
Issue 16
Applied Sciences, Vol 11, Iss 7213, p 7213 (2021)
Today, cardiovascular disease is the leading cause of death in developed countries. The most common arrhythmia is atrial fibrillation, which increases the risk of ischemic stroke. An electrocardiogram is one of the best methods for diagnosing cardiac
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 873:012003
Fast and accurate processing of electroencephalogram (EEG) signals is necessary for correct realization of neurointerfaces. Neural network is one of the ways of its processing. In this article the method of EEG processing with the help of multilayer