Ara
Toplam kayıt 4, listelenen: 1-4
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 ...
Coronavirus (Covid-19) classification using CT images by machine learning methods
(CEUR-WS, 2021)
This study detected the Coronavirus (COVID-19) disease by implementing artificial learning methods. Coronavirus disease occurs in the lungs and can cause death. The detection process was performed on chest Computed Tomography ...
Comparison of Current Convolutional Neural Network Architectures for Classification of Damaged and Undamaged Cars
(Springer Science and Business Media Deutschland GmbH, 2022)
Deep learning algorithms, one of the most popular topics of recent years, are frequently encountered in many areas. One of these areas is traffic. Many applications such as vehicle identification and damage detection using ...