Search Results - "Salumäe, Liis"
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Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY
Published in Nature communications (28-03-2024)“…Accurate placenta pathology assessment is essential for managing maternal and newborn health, but the placenta’s heterogeneity and temporal variability pose…”
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Targeting vascular disrupting agent-treated tumor microenvironment with tissue-penetrating nanotherapy
Published in Scientific reports (30-07-2024)“…Cancer treatment with vascular disrupting agents (VDAs) causes rapid and extensive necrosis in solid tumors. However, these agents fall short in eliminating…”
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Quality Assessment of Cervical Cytology Practices in Estonia From 2007 to 2018
Published in Cancer control (01-11-2022)“…Background Cervical cancer incidence and mortality in Estonia are among the highest in Europe, although the overall coverage with cervical cytology is high…”
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A cost-effective and efficient ex vivo, ex situ human whole brain perfusion protocol for immunohistochemistry
Published in Journal of neuroscience methods (01-04-2024)“…Chemical fixation of the brain can be executed through either the immersion method or the perfusion method. Perfusion fixation allows for better preservation…”
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The Prevalence and Molecular Landscape of Lynch Syndrome in the Affected and General Population
Published in Cancers (18-07-2023)“…Lynch syndrome (LS) is the most frequent genetically pre-disposed colorectal cancer (CRC) syndrome, accounting for 2-3% of all CRC cases. In Estonia, ~1000 new…”
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Depletion of Mannose Receptor-Positive Tumor-associated Macrophages via a Peptide-targeted Star-shaped Polyglutamate Inhibits Breast Cancer Progression in Mice
Published in Cancer research communications (01-06-2022)“…Although many studies have explored the depletion of tumor-associated macrophages (TAM) as a therapeutic strategy for solid tumors, currently available…”
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A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Published 11-11-2022“…We introduce a new benchmark dataset, Placenta, for node classification in an underexplored domain: predicting microanatomical tissue structures from cell…”
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