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Inferring a Third Spatial Dimension from 2D Histological Images
Histological images are obtained by transmitting light through a tissue ...
01/10/2018 ∙ by Maxime W. Lafarge, et al. ∙
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Isointense infant brain MRI segmentation with a dilated convolutional neural network
Quantitative analysis of brain MRI at the age of 6 months is difficult b...
08/09/2017 ∙ by Pim Moeskops, et al. ∙
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Domain-adversarial neural networks to address the appearance variability of histopathology images
Preparing and scanning histopathology slides consists of several steps, ...
07/19/2017 ∙ by Maxime W. Lafarge, et al. ∙
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Adversarial training and dilated convolutions for brain MRI segmentation
Convolutional neural networks (CNNs) have been applied to various automa...
07/11/2017 ∙ by Pim Moeskops, et al. ∙
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Exploring the similarity of medical imaging classification problems
Supervised learning is ubiquitous in medical image analysis. In this pap...
06/12/2017 ∙ by Veronika Cheplygina, et al. ∙
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Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities
Automatic segmentation of medical images is an important task for many c...
04/11/2017 ∙ by Pim Moeskops, et al. ∙
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Automatic segmentation of MR brain images with a convolutional neural network
Automatic segmentation in MR brain images is important for quantitative ...
04/11/2017 ∙ by Pim Moeskops, et al. ∙
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