Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation

 pushing forward to weakly supervised learning the problem Medical Image Segmentation of Thoracic Organs at Risk in CT-images..

Keywords: medical image segmentation, convolutional neural networks, deep learning, convolution, loss function..

The latter case may be appropriate if there is no class relevant for the model that has T as an instance and if no properties, states, events, transformations, and subsystems related

Furthermore, the decreased cytolytic activity against tumor cell lines of intratumoral NK cells from cancer patients has also been shown to be increased/restored when IL-2 or IFNα

Maxime Gasse, Fabien Millioz, Emmanuel Roux, Damien Garcia, Hervé Liebgott, Denis Friboulet. To cite

compared the effect of a diet enriched in BCAAs on mouse cortical motoneurons (the population of cortical neurons that command the spinal motoneurons, and which are speci fi

A series of experiments are designed to verify the anxiolytic effect of ethyl acetate extract and laetispicine in the light/dark test, elevated plus maze test and

Title : Deep Depth from Defocus : Neural Networks for Monocular Depth Estimation Keywords : deep learning, depth estimation, defocus blur, semantics, multi-task learning Abstract