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2018 | OriginalPaper | Chapter

Dealing with Topological Information Within a Fully Convolutional Neural Network

Authors : Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck

Published in: Advanced Concepts for Intelligent Vision Systems

Publisher: Springer International Publishing

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Abstract

A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed in this paper to solve this problem, based on pre-processing with a geodesic operator. It is applied to the segmentation of histological images of pigmented reconstructed epidermis acquired via Whole Slide Imaging.

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Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. arXiv:1511.00561 [cs], November 2015. http://arxiv.org/abs/1511.00561

Bejnordi, B.E.: The CAMELYON16 consortium: diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. JAMA 318(22), 2199–2210 (2017). https://jamanetwork.com/journals/jama/fullarticle/2665774

Fukushima, K.: Neural network model for a mechanism of pattern recognition unaffected by shift in position- neocognitron. Electron. Commun. Japan 62(10), 11–18 (1979)

LeCun, Y., et al.: Backpropagation applied to handwritten zip code recognition. Neural Comput. 1(4), 541–551 (1989). http://www.mitpressjournals.org/doi/10.1162/neco.1989.1.4.541

Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234–241. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24574-4_28CrossRef

Rosenfeld, A.: Digital topology. Amer. Math. Monthly 86, 621–630 (1979)MathSciNetCrossRefMATH

Vincent, L.: Morphological gray scale reconstruction in image analysis: applications and efficient algorithms. IEEE Trans. Image Process. 2(2), 176–201 (1993)CrossRef

Wang, D., Khosla, A., Gargeya, R., Irshad, H., Beck, A.H.: Deep learning for identifying metastatic breast cancer. arXiv:1606.05718 [cs, q-bio], June 2016. http://arxiv.org/abs/1606.05718

Zeiler, M.D.: ADADELTA: an adaptive learning rate method. CoRR abs/1212.5701 (2012). http://arxiv.org/abs/1212.5701

Title: Dealing with Topological Information Within a Fully Convolutional Neural Network
Authors: Etienne Decencière
Santiago Velasco-Forero
Fu Min
Juanjuan Chen
Hélène Burdin
Gervais Gauthier
Bruno Laÿ
Thomas Bornschloegl
Thérèse Baldeweck
Publisher: Springer International Publishing
Book: Advanced Concepts for Intelligent Vision Systems
Print ISBN: 978-3-030-01448-3

Electronic ISBN: 978-3-030-01449-0

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-01449-0_39

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