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A survey on deep learning in medical image analysisLitjens, 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.Medical image analysis, 2017-12, Vol.42, p.60-88 [Periódico revisado por pares]Netherlands: Elsevier B.VTexto completo disponível |
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Deep learning assisted mitotic counting for breast cancerBalkenhol, Maschenka C.A. ; Tellez, David ; Vreuls, Willem ; Clahsen, Pieter C. ; Pinckaers, Hans ; Ciompi, Francesco ; Bult, Peter ; van der Laak, Jeroen A.W.M.Laboratory investigation, 2019-11, Vol.99 (11), p.1596-1606 [Periódico revisado por pares]United States: Elsevier IncTexto completo disponível |
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Deep learning in histopathology: the path to the clinicvan der Laak, Jeroen ; Litjens, Geert ; Ciompi, FrancescoNature medicine, 2021-05, Vol.27 (5), p.775-784 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
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Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital AgeWasmann, Jan-Willem A ; Lanting, Cris P ; Huinck, Wendy J ; Mylanus, Emmanuel A M ; van der Laak, Jeroen W M ; Govaerts, Paul J ; Swanepoel, De Wet ; Moore, David R ; Barbour, Dennis LEar and hearing, 2021-11, Vol.42 (6), p.1499-1507 [Periódico revisado por pares]United StatesTexto completo disponível |
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Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approachRutgers, Jikke J ; Bánki, Tessa ; van der Kamp, Ananda ; Waterlander, Tomas J ; Scheijde-Vermeulen, Marijn A ; van den Heuvel-Eibrink, Marry M ; van der Laak, Jeroen A W M ; Fiocco, Marta ; Mavinkurve-Groothuis, Annelies M C ; de Krijger, Ronald RDiagnostic pathology, 2021-08, Vol.16 (1), p.77-77, Article 77 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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A Decade of GigaScience: The Challenges of Gigapixel Pathology ImagesLitjens, Geert ; Ciompi, Francesco ; van der Laak, JeroenGigascience, 2022-06, Vol.11 [Periódico revisado por pares]United States: Oxford University PressTexto completo disponível |
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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology AssociationAbels, Esther ; Pantanowitz, Liron ; Aeffner, Famke ; Zarella, Mark D ; Laak, Jeroen ; Bui, Marilyn M ; Vemuri, Venkata NP ; Parwani, Anil V ; Gibbs, Jeff ; Agosto‐Arroyo, Emmanuel ; Beck, Andrew H ; Kozlowski, CleopatraThe Journal of pathology, 2019-11, Vol.249 (3), p.286-294 [Periódico revisado por pares]Chichester, UK: John Wiley & Sons, LtdTexto completo disponível |
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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosisLitjens, Geert ; Sánchez, Clara I ; Timofeeva, Nadya ; Hermsen, Meyke ; Nagtegaal, Iris ; Kovacs, Iringo ; Hulsbergen-van de Kaa, Christina ; Bult, Peter ; van Ginneken, Bram ; van der Laak, JeroenScientific reports, 2016-05, Vol.6 (1), p.26286-26286, Article 26286 [Periódico revisado por pares]England: Nature Publishing GroupTexto completo disponível |
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Automatic data augmentation to improve generalization of deep learning in H&E stained histopathologyFaryna, Khrystyna ; van der Laak, Jeroen ; Litjens, GeertComputers in biology and medicine, 2024-03, Vol.170, p.108018-108018, Article 108018 [Periódico revisado por pares]United States: Elsevier LtdTexto completo disponível |
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1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON datasetLitjens, 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, JeroenGigascience, 2018-06, Vol.7 (6) [Periódico revisado por pares]United States: Oxford University PressTexto completo disponível |