ITHEA® International Journal
"Information Theories and Applications"
2021, Volune 28, Nimber 2
Study of Convolutional Neural Networks in the Processing of Medical Images and Classification of Breast Tumors (in Russian)
Yuri Zaichenko, Galib Gamidov
Copy Citation Text:
Yuri Zaichenko, Galib Gamidov, "Study of Convolutional Neural Networks in the Processing of Medical Images and Classification of Breast Tumors (in Russian)" IJ ITA, Vol. 28, Issue 2, pp. 178-199. (2021)
DOI: https://doi.org/10.54521/ijita28-02-p05
Abstract:
The problem of medical images analysis and classification of breast tumors is considered. For its solution the application of different convolutional neural networks CNN VGG16, VGG19, ResNet50 v 2, Inseption и Xception is suggested. The experimental investigations of the suggested CNN on the standard data set BreakHis were carried out in problems of binary and multi-class classification. The comparison with known results was performed and efficiency of different CNN was estimated. The best class of CNN for this problem was determined with the highest accuracy.
© 2021 ITHEA®
ITHEA Journals
- ITHEA has four International Jornals on Informatics.