Encoder-decoder convolutional neural network for simple CT segmentation of COVID-19 infected lungs
Kiri S. Newson,
David M. Benoit,
Andrew W. Beavis
Abstract:This work presents the application of an Encoder-Decoder convolutional neural network (ED-CNN) model to automatically segment COVID-19 computerised tomography (CT) data. By doing so we are producing an alternative model to current literature, which is easy to follow and reproduce, making it more accessible for real-world applications as little training would be required to use this. Our simple approach achieves results comparable to those of previously published studies, which use more complex deep-learning ne… Show more
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