Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning von Hermsen, Meyke, Volk, Valery, Bräsen, Jan Hinrich, Geijs, Daan J., Gwinner, Wilfried, Kers, Jesper, Linmans, Jasper, Schaadt, Nadine S., Schmitz, Jessica, Steenbergen, Eric J., Swiderska-Chadaj, Zaneta, Smeets, Bart, Hilbrands, Luuk B., Feuerhake, Friedrich, van der Laak, Jeroen A.W.M.

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Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model von Z. Swiderska-Chadaj, T. Markiewicz, J. Gallego, G. Bueno, B. Grala, M. Lorent

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Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies von Hermsen, Meyke, Ciompi, Francesco, Adefidipe, Adeyemi, Denic, Aleksandar, Dendooven, Amélie, Smith, Byron H., van Midden, Dominique, Bräsen, Jan Hinrich, Kers, Jesper, Stegall, Mark D., Bándi, Péter, Nguyen, Tri, Swiderska-Chadaj, Zaneta, Smeets, Bart, Hilbrands, Luuk B., van der Laak, Jeroen A.W.M.

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Convolutional neural networks for the evaluation of chronic and inflammatory lesions in kidney transplant biopsies von Hermsen, Meyke, Ciompi, Francesco, Adefidipe, Adeyemi, Denic, Aleksandar, Dendooven, Amélie, Smith, Byron H, van Midden, Dominique, Bräsen, Jan Hinrich, Kers, Jesper, Stegall, Mark D, Bándi, Péter, Nguyen, Tri, Swiderska-Chadaj, Zaneta, Smeets, Bart, Hilbrands, Luuk B, van der Laak, Jeroen A.W.M

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Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies von Hermsen, Meyke, Ciompi, Francesco, Adefidipe, Adeyemi, Denic, Aleksandar, Dendooven, Amélie, Smith, Byron H, van Midden, Dominique, Bräsen, Jan Hinrich, Kers, Jesper, Stegall, Mark D, Bándi, Péter, Nguyen, Tri, Swiderska-Chadaj, Zaneta, Smeets, Bart, Hilbrands, Luuk B, van der Laak, Jeroen A W M

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Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning von Hermsen, Meyke, Volk, Valery, Bräsen, Jan Hinrich, Geijs, Daan J, Gwinner, Wilfried, Kers, Jesper, Linmans, Jasper, Schaadt, Nadine S, Schmitz, Jessica, Steenbergen, Eric J, Swiderska-Chadaj, Zaneta, Smeets, Bart, Hilbrands, Luuk B, Feuerhake, Friedrich, van der Laak, Jeroen A W M

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Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model von Swiderska-Chadaj, Z., Markiewicz, T., Gallego, J., Bueno, G., Grala, B., Lorent, M.

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Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning von Hermsen, M., Volk, V., Braesen, J.H., Geijs, D.J., Gwinner, W., Kers, J., Linmans, J., Schaadt, N.S., Schmitz, J., Steenbergen, E.J., Swiderska-Chadaj, Z., Smeets, B., Hilbrands, L.B., Feuerhake, F., Laak, J.A.W.M. van der

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