Automated glioma grading on conventional MRI images using deep convolutional neural networks
Medical Physics2020Vol. 47(7), pp. 3044–3053
Citations Over TimeTop 10% of 2020 papers
Abstract
Two effective glioma grading methods on conventional MRI images using deep convolutional neural networks have been developed. Our methods are fully automated without manual specification of region-of-interests and selection of slices for model training, which are common in traditional machine learning based brain tumor grading methods. This methodology may play a crucial role in selecting effective treatment options and survival predictions without the need for surgical biopsy.
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