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Deep Learning For Multi-Task Medical Image Segmentation In Multiple Modalities

P. Moeskops, J. Wolterink, Bas H. M. van der Velden, K. Gilhuijs, T. Leiner, M. Viergever, I. Išgum
Published 2016 · Computer Science

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Automatic segmentation of medical images is an important task for many clinical applications. In practice, a wide range of anatomical structures are visualised using different imaging modalities. In this paper, we investigate whether a single convolutional neural network (CNN) can be trained to perform different segmentation tasks.
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