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Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer
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Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

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.

Cellular oncology (Dordrecht), 2019-06, Vol.42 (3), p.331-341

Dordrecht: Springer Netherlands

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Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment
Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment
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Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment

Smit, Marloes A. ; Ciompi, Francesco ; Bokhorst, John-Melle ; van Pelt, Gabi W. ; Geessink, Oscar G.F. ; Putter, Hein ; Tollenaar, Rob A.E.M. ; van Krieken, J. Han J.M. ; Mesker, Wilma E. ; van der Laak, Jeroen A.W.M.

Journal of pathology informatics, 2023, Vol.14, p.100191-100191, Article 100191 [Periódico revisado por pares]

United States: Elsevier Inc

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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

Abels, 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, Cleopatra

The Journal of pathology, 2019-11, Vol.249 (3), p.286-294 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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4
IMI—Bigpicture: A Central Repository for Digital Pathology
IMI—Bigpicture: A Central Repository for Digital Pathology
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IMI—Bigpicture: A Central Repository for Digital Pathology

Moulin, Pierre ; Grünberg, Katrien ; Barale-Thomas, Erio ; der Laak, Jeroen van

Toxicologic pathology, 2021-06, Vol.49 (4), p.711-713 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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5
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology
Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology
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Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology

Faryna, Khrystyna ; van der Laak, Jeroen ; Litjens, Geert

Computers in biology and medicine, 2024-03, Vol.170, p.108018-108018, Article 108018 [Periódico revisado por pares]

United States: Elsevier Ltd

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6
Artificial intelligence applied to breast pathology
Artificial intelligence applied to breast pathology
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Artificial intelligence applied to breast pathology

Yousif, Mustafa ; van Diest, Paul J. ; Laurinavicius, Arvydas ; Rimm, David ; van der Laak, Jeroen ; Madabhushi, Anant ; Schnitt, Stuart ; Pantanowitz, Liron

Virchows Archiv : an international journal of pathology, 2022, Vol.480 (1), p.191-209 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
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Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Bándi, Péter ; Balkenhol, Maschenka ; van Ginneken, Bram ; van der Laak, Jeroen ; Litjens, Geert

PeerJ (San Francisco, CA), 2019-12, Vol.7, p.e8242-e8242, Article e8242 [Periódico revisado por pares]

United States: PeerJ. Ltd

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8
Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer
Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer
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Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer

Bokhorst, John-Melle ; Nagtegaal, Iris D ; Zlobec, Inti ; Dawson, Heather ; Sheahan, Kieran ; Simmer, Femke ; Kirsch, Richard ; Vieth, Michael ; Lugli, Alessandro ; van der Laak, Jeroen ; Ciompi, Francesco

Cancers, 2023-03, Vol.15 (7), p.2079 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
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Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection

Jarkman, Sofia ; Karlberg, Micael ; Pocevičiūtė, Milda ; Bodén, Anna ; Bándi, Péter ; Litjens, Geert ; Lundström, Claes ; Treanor, Darren ; van der Laak, Jeroen

Cancers, 2022-11, Vol.14 (21), p.5424 [Periódico revisado por pares]

Basel: MDPI AG

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10
Neural Image Compression for Gigapixel Histopathology Image Analysis
Neural Image Compression for Gigapixel Histopathology Image Analysis
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Neural Image Compression for Gigapixel Histopathology Image Analysis

Tellez, David ; Litjens, Geert ; van der Laak, Jeroen ; Ciompi, Francesco

IEEE transactions on pattern analysis and machine intelligence, 2021-02, Vol.43 (2), p.567-578 [Periódico revisado por pares]

United States: IEEE

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