System for neural network recognition of malignant pigmented skin neoplasms with image pre-processing
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 augmentation. Augmentation made it possible to increase the...
Saved in:
Main Authors: | Lyakhova, U. A., Ляхова, У. А., Lyakhov, P. A., Ляхов, П. А., Abdulkadirov, R. I., Абдулкадиров, Р. И. |
---|---|
Format: | Статья |
Language: | English |
Published: |
IOP Publishing Ltd
2021
|
Subjects: | |
Online Access: | https://dspace.ncfu.ru/handle/20.500.12258/18529 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Method for determining skin lesions from images using neural network
by: Lyakhova, U. A., et al.
Published: (2020) -
Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs
by: Lyakhov, P. A., et al.
Published: (2021) -
Neural network classification of dermatoscopic images of pigmented skin lesions
by: Lyakhov, P. A., et al.
Published: (2022) -
Image recognition by a second-order convolutional neural network with dynamic receptive fields
by: Nemkov, R. M., et al.
Published: (2018) -
Optimization of neural network training for image recognition based on trigonometric polynomial approximation
by: Vershkov, N. A., et al.
Published: (2022)