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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Che, Wanxiang; Chen, Cheng. - : Underline Science Inc., 2021 BASE Show details 2 Adherence to a MIND-Like Dietary Pattern, Long-Term Exposure to Fine Particulate Matter Air Pollution, and MRI-Based Measures of Brain Volume: The Women’s Health Initiative Memory Study-MRI Chen, Cheng; Hayden, Kathleen M.; Kaufman, Joel D.... In: Environ Health Perspect (2021) BASE Show details 3 Measurement of $W^{\pm}$-boson and $Z$-boson production cross-sections in $pp$ collisions at $\sqrt{s}=2.76$ TeV with the ATLAS detector Aad, Georges; Abbott, Brad; Abbott, Dale Charles. - 2019 BASE Show details 4 Cancer diagnosis by nuclear morphometry using spatial information (.) ... Huang, Hu; Tosun, Akif Burak; Guo, Jia; Chen, Cheng; Wang, Wei; Ozolek, John A.; Rohde, Gustavo. - : Figshare, 2018 Abstract: Methods for extracting quantitative information regarding nuclear morphology from histopathology images have been long used to aid pathologists in determining the degree of differentiation in numerous malignancies. Most methods currently in use, however, employ the naïve Bayes approach to classify a set of nuclear measurements extracted from one patient. Hence, the statistical dependency between the samples (nuclear measurements) is often not directly taken into account. Here we describe a method that makes use of statistical dependency between samples in thyroid tissue to improve patient classification accuracies with respect to standard naïve Bayes approaches. We report results in two sample diagnostic challenges. ... Keyword: 90399 Biomedical Engineering not elsewhere classified; FOS Medical engineering URL: https://figshare.com/articles/Cancer_diagnosis_by_nuclear_morphometry_using_spatial_information_/6096311/1 https://dx.doi.org/10.1184/r1/6096311.v1 BASE Hide details

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