A survey on deep learning in medical image analysis von Litjens, Geert, Kooi, Thijs, Bejnordi, Babak Ehteshami, Setio, Arnaud Arindra Adiyoso, Ciompi, Francesco, Ghafoorian, Mohsen, van der Laak, Jeroen A.W.M., van Ginneken, Bram, Sánchez, Clara I.

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1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset von Litjens, Geert, Bandi, Peter, Ehteshami Bejnordi, Babak, Geessink, Oscar, Balkenhol, Maschenka, Bult, Peter, Halilovic, Altuna, Hermsen, Meyke, van de Loo, Rob, Vogels, Rob, Manson, Quirine F, Stathonikos, Nikolas, Baidoshvili, Alexi, van Diest, Paul, Wauters, Carla, van Dijk, Marcory, van der Laak, Jeroen

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Stain Specific Standardization of Whole-Slide Histopathological Images von Ehteshami Bejnordi, Babak, Litjens, Geert, Timofeeva, Nadya, Otte-Holler, Irene, Homeyer, Andre, Karssemeijer, Nico, van der Laak, Jeroen Awm

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Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies von Ehteshami Bejnordi, Babak, Mullooly, Maeve, Pfeiffer, Ruth M., Fan, Shaoqi, Vacek, Pamela M., Weaver, Donald L., Herschorn, Sally, Brinton, Louise A., van Ginneken, Bram, Karssemeijer, Nico, Beck, Andrew H., Gierach, Gretchen L., van der Laak, Jeroen A. W.M., Sherman, Mark E.

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Deep learning assisted mitotic counting for breast cancer von Balkenhol, Maschenka C.A., Tellez, David, Vreuls, Willem, Clahsen, Pieter C., Pinckaers, Hans, Ciompi, Francesco, Bult, Peter, van der Laak, Jeroen A.W.M.

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Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images von Ehteshami Bejnordi, Babak, Balkenhol, Maschenka, Litjens, Geert, Holland, Roland, Bult, Peter, Karssemeijer, Nico, 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 in histopathology: the path to the clinic von van der Laak, Jeroen, Litjens, Geert, Ciompi, Francesco

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Deep Learning-Based Histopathologic Assessment of Kidney Tissue von Hermsen, Meyke, de Bel, Thomas, den Boer, Marjolijn, Steenbergen, Eric J, Kers, Jesper, Florquin, Sandrine, Roelofs, Joris J T H, Stegall, Mark D, Alexander, Mariam P, Smith, Byron H, Smeets, Bart, Hilbrands, Luuk B, van der Laak, Jeroen A W M

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Pathologists’ first opinions on barriers and facilitators of computational pathology adoption in oncological pathology: an international study von Swillens, Julie E. M., Nagtegaal, Iris D., Engels, Sam, Lugli, Alessandro, Hermens, Rosella P. M. G., van der Laak, Jeroen A. W. M.

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Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer von Geessink, Oscar G. F., Baidoshvili, Alexi, Klaase, Joost M., Ehteshami Bejnordi, Babak, Litjens, Geert J. S., van Pelt, Gabi W., Mesker, Wilma E., Nagtegaal, Iris D., Ciompi, Francesco, 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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A whole‐slide imaging based workflow reduces the reading time of pathologists von Baidoshvili, Alexi, Khacheishvili, Mariam, Laak, Jeroen A. W. M., Diest, Paul J.

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A New Fiji-Based Algorithm That Systematically Quantifies Nine Synaptic Parameters Provides Insights into Drosophila NMJ Morphometry von Nijhof, Bonnie, Castells-Nobau, Anna, Wolf, Louis, Scheffer-de Gooyert, Jolanda M, Monedero, Ignacio, Torroja, Laura, Coromina, Lluis, van der Laak, Jeroen A W M, Schenck, Annette

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Recommendations for diagnosing STIC: a systematic review and meta-analysis von Bogaerts, Joep M. A., Steenbeek, Miranda P., van Bommel, Majke H. D., Bulten, Johan, van der Laak, Jeroen A. W. M., de Hullu, Joanne A., Simons, Michiel

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Value of Public Challenges for the Development of Pathology Deep Learning Algorithms von Hartman, Douglas Joseph, Van Der Laak, Jeroen A.W.M., Gurcan, Metin N., Pantanowitz, Liron

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Effects of dual targeting of tumor cells and stroma in human glioblastoma xenografts with a tyrosine kinase inhibitor against c-MET and VEGFR2 von Navis, Anna C, Bourgonje, Annika, Wesseling, Pieter, Wright, Alan, Hendriks, Wiljan, Verrijp, Kiek, van der Laak, Jeroen A W M, Heerschap, Arend, Leenders, William P J

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Consensus based recommendations for the diagnosis of serous tubal intraepithelial carcinoma: an international Delphi study von Bogaerts, Joep M A, Bommel, Majke H D, Hermens, Rosella P M G, Steenbeek, Miranda P, Hullu, Joanne A, Laak, Jeroen A W M, Shih, Ie‐Ming, McCluggage, W Glenn, Gilks, C Blake, Carlson, Joseph W, Rabban, Joseph T, Ewing‐Graham, Patricia C, Killeen, Jeffrey L, Lastra, Ricardo, Parkash, Vinita, O'Riain, Ciaran, Staebler, Annette, Vang, Russell, Bulten, Johan, Vijver, Koen K, Sherman, Mark E, Desouki, Mohamed Mokhtar, Turashvili, Gulisa, Bart, Joost, Bosse, Tjalling, Kooreman, Loes F S, Singh, Naveena, Stewart, Colin J R, Lax, Sigurd F, Howitt, Brooke E, Xing, Deyin, Attygalle, Ayoma D, Vroobel, Katherine M, Schwartz, Lauren E, Jonges, Trudy G N, Nucci, Marisa, Schoolmeeste, Kenneth J, Devouassoux‐Shisheboran, Mojgan, Soong, Thing R, Simons, Michiel

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Histological subtypes in triple negative breast cancer are associated with specific information on survival von Balkenhol, Maschenka C.A., Vreuls, Willem, Wauters, Carla A.P., Mol, Suzanne J.J., van der Laak, Jeroen A.W.M., Bult, Peter

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Tubal epithelial lesions in salpingo-oophorectomy specimens of BRCA-mutation carriers and controls von Mingels, Marjanka J.J.M, Roelofsen, Thijs, van der Laak, Jeroen A.W.M, de Hullu, Joanne A, van Ham, Maaike A.P.C, Massuger, Leon F.A.G, Bulten, Johan, Bol, Mijke

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