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Published in:
2018 | OriginalPaper | Chapter
Abstract: Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet
Authors : Mattias P. Heinrich, Ozan Oktay
Published in: Bildverarbeitung für die Medizin 2018
Publisher: Springer Berlin Heidelberg
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Deep convolutional neural networks can evidently achieve astonishing accuracies for multiple medical image analysis tasks, in particular segmentation and detection. However, the actual translation of deep learning into clinical practice is so far very limited, in part because their extensive computations rely on specialised GPU hardware that is not easily available in clinical environments.