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Toplam kayıt 3, listelenen: 1-3
Super resolution of B-mode ultrasound images with deep learning
(Institute of Electrical and Electronics Engineers Inc., 2020)
Ultrasound offers a safe, non-invasive, and inexpensive way of imaging. However, due to its
natural intrinsic imaging characteristics, it produces poor quality images with low resolution (LR) compared
to other medical ...
An experimental study on hyper parameters for training deep convolutional networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
When training deep networks, it is crucial to
obtain a network that offers optimum performance by trying
different values of many hyper parameters and combinations of
these values. Theoretically, the optimal set of ...
A comparative study on super resolution with deep learning
(IEEE, 2018)
Deep learning architectures are applied in the solution of many problems and give very successful results compared to other methods. One of these problems is the Super Resolution problem. In this study, we tried to solve ...