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1. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation
University essay from KTH/Optimeringslära och systemteoriAbstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE
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