Konu "Convolutional neural networks" için Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed listeleme
Toplam kayıt 4, listelenen: 1-4
-
Cell-type based semantic segmentation of histopathological images using deep convolutional neural networks
(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 ... -
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 ... -
Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
(Ieee-Inst Electrical Electronics Engineers Inc, 2022)Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate when diagnosed at early stages. Learning-based methods hold significant promise for the detection of melanoma from dermoscopic ... -
HIC-net: A deep convolutional neural network model for classification of histopathological breast images
(PERGAMON-ELSEVIER SCIENCE LTD, 2019)In this study, a convolutional neural network (CNN) model is presented to automatically identify cancerous areas on whole-slide histopathological images (WSI). The proposed WSI classification network (HIC-net) architecture ...