Skoltech researchers led by Professor Dylov and their colleagues from First Pavlov State Medical University of St. Petersburg, Russia, have developed a brand-new approach to the task of 3D image ...

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A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI ...

Drawing inspiration from the popular VGG networks, the paper proposes using a deep convolutional neural network architecture with small convolutional kernels for segmentation of gliomas in MRI images.

MR segmentation can be roughly divided into 2 categories: a single-image segmentation or multi-spectral-image segmentation, in which multiple MRIs with different gray-scale contrasts are available and ...

This article explores the science behind emerging 3D pregnancy scans and what the future holds for preventing pregnancy ...