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Artificial intelligence has started to transform histopathology impacting clinical diagnostics and biomedical research.
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“Histological images for MSI vs. MSS classification in gastrointestinal cancer, FFPE samples”
Jakob Kather · 2019
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Ting Chen, Simon Kornblith, Mohammad Norouzi and Geoffrey Hinton · 2020
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“Yottixel–an image search engine for large archives of histopathology whole slide images”
Shivam Kalra et al · 2020
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“Scaling Self-Supervised Learning for Histopathology with Masked Image Modeling”
Alexandre Filiot et al · 2023
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Eugene Vorontsov et al · 2023
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“When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology”, 2023
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“Tailoring automated data augmentation to H&E-stained histopathology”
Khrystyna Faryna, Jeroen Van and Geert Litjens · 2021
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Jerry Wei et al · 2021
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Philipp Keyl et al · 2022
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Wenhui Wang et al · 2023
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Mingu Kang et al · 2023
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“Segment anything”
Alexander Kirillov et al · 2023
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“ChampKit: a framework for rapid evaluation of deep neural networks for patch-based histopathology classification”
Jakub Kaczmarzyk et al · 2023
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“Toward Explainable Artificial Intelligence for Precision Pathology”
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