Ara
Toplam kayıt 6, listelenen: 1-6
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
(SPRINGER, 2022)
Machine learning has been recently used especially in the medical field. In the diagnosis of serious diseases such as cancer, deep learning techniques can be used to reduce the workload of experts and to produce quick ...
MediNet: transfer learning approach with MediNet medical visual database
(Springer, 2023)
The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the ...
Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented
(Elsevier Ltd, 2023)
Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, ...
Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
(Elsevier Inc., 2024)
Early detection of plant diseases is critical to prevent disease spread and assist farmers. Thanks to their high discrimination ability, Convolutional Neural Network (CNN)-based architectures can offer practical solutions ...
Integration of a CNN-based model and ensemble learning for detecting post-earthquake road cracks with deep features
(Elsevier Ltd, April 2024)
A safe and healthy infrastructure is essential for humanity. Maintenance and repair of roads, which are of great importance, especially in transportation, is essential. Roads can sometimes be damaged due to natural disasters ...
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
(Elsevier Ltd, July 2024)
Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies ...