Ara
Toplam kayıt 4, listelenen: 1-4
Convolution kernel size effect on convolutional neural network in histopathological image processing applications
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, the change in the classification success of the convolutional neural network (CNN) is investigated when the dimensions of the convolution window are altered. For this purpose, four different linear convolution ...
Weighting and classification of image features using optimization algorithms
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, importance ratios of features extracted from images using feature extraction algorithms are examined. A significance coefficient is determined for each feature parameter. The number of features is reduced ...
Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA
(Elsevier B.V., 2018)
Classification of histopathologic images and identification of cancerous areas is quite challenging due to image background complexity and resolution. The difference between normal tissue and cancerous tissue is very small ...
Effects of Histopathological Image Pre-processing on Convolutional Neural Networks
(Elsevier B.V., 2018)
In this study, classification performance of histopathological images which are processed by pre-processing algorithms using convolutional neural network structure is examined. The images are divided into four different ...