Yazar "Akdemir B." için listeleme
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Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA
Öztürk Ş.; Akdemir B. (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 ... -
Cell-type based semantic segmentation of histopathological images using deep convolutional neural networks
Öztürk Ş.; Akdemir B. (John Wiley and Sons Inc., 2019)Histopathological whole-slide image (WSI) analysis is still one of the most important ways to identify regions of cancer risk. For cancer in which early diagnosis is vital, pathologists are at the center of the decision-making ... -
Convolution kernel size effect on convolutional neural network in histopathological image processing applications
Ozturk S.; Ozkaya U.; Akdemir B.; Seyfi L. (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 ... -
Effects of Histopathological Image Pre-processing on Convolutional Neural Networks
Öztürk Ş.; Akdemir B. (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 ... -
Weighting and classification of image features using optimization algorithms
Ozturk S.; Ozkaya U.; Akdemir B.; Seyfi L. (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 ...
