Category: Convolutional Residual Neural Networks

Denosing Lung CT Scans using Neural Networks with Interactive Code — Part 4, Convolutional Residual Neural Networks

From: https://towardsdatascience.com/denosing-lung-ct-scans-using-neural-networks-with-interactive-code-part-4-convolutional-resnet-74335714a4ae Another attempt to denoise CT Scan of lungs, this time we are going to use more sophisticated Convolutional ResNet Architecture. Specifically, we are going to use the architecture proposed in this paper, “Deep Residual Learning for Image Recognition”. Also, as usual lets do manual back propagation to compare our results. Network Architecture (Image Form) Image … Continue reading Denosing Lung CT Scans using Neural Networks with Interactive Code — Part 4, Convolutional Residual Neural Networks →

Denosing Lung CT Scans using Neural Networks with Interactive Code — Part 3, Convolutional Residual Neural Networks

From: https://towardsdatascience.com/denosing-lung-ct-scans-using-neural-networks-with-interactive-code-part-3-convolutional-residual-6dbb36b28be So since I will be using a lot of image data, I will move on to Tensorflow to harness the power of GPU however, no worries, we will implement all of our back propagation. (Also compare the final results with auto differentiation). Now due to midterms I wasn’t able to do much, so … Continue reading Denosing Lung CT Scans using Neural Networks with Interactive Code — Part 3, Convolutional Residual Neural Networks →