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Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
NPJ Digit Med. 2022 Jul 22;5(1):102. doi: 10.1038/s41746-022-00635-4.
NPJ Digit Med. 2022.
PMID: 35869179
Free PMC article.
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images.
van Rijthoven M, Balkenhol M, Siliņa K, van der Laak J, Ciompi F.
van Rijthoven M, et al.
Med Image Anal. 2021 Feb;68:101890. doi: 10.1016/j.media.2020.101890. Epub 2020 Oct 29.
Med Image Anal. 2021.
PMID: 33260110
Free article.
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Learning to detect lymphocytes in immunohistochemistry with deep learning.
Swiderska-Chadaj Z, Pinckaers H, van Rijthoven M, Balkenhol M, Melnikova M, Geessink O, Manson Q, Sherman M, Polonia A, Parry J, Abubakar M, Litjens G, van der Laak J, Ciompi F.
Swiderska-Chadaj Z, et al. Among authors: van rijthoven m.
Med Image Anal. 2019 Dec;58:101547. doi: 10.1016/j.media.2019.101547. Epub 2019 Aug 21.
Med Image Anal. 2019.
PMID: 31476576
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Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors.
van Rijthoven M, Obahor S, Pagliarulo F, van den Broek M, Schraml P, Moch H, van der Laak J, Ciompi F, Silina K.
van Rijthoven M, et al.
Commun Med (Lond). 2024 Jan 5;4(1):5. doi: 10.1038/s43856-023-00421-7.
Commun Med (Lond). 2024.
PMID: 38182879
Free PMC article.
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