Showing 181 - 200 results of 3,353 for search '(((region OR (regiment OR (sentiment OR regimens))) OR segments) OR (regimen OR regimes))', query time: 0.22s Refine Results
  1. 181

    Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets by Soh, Wei Kwek, Rajapakse, Jagath Chandana

    Published 2024
    “…HUT achieves higher Dice scores and reduced Hausdorff Distance scores in single-modality and multi-modality lesion segmentation. HUT outperforms the state-the-art network SPiN in the single-modality MRI segmentation on Anatomical Tracings of lesion After Stroke (ATLAS) dataset by 4.84% of Dice score and a large margin of 40.7% in the Hausdorff Distance score. …”
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    Journal Article
  2. 182

    Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images by Lin, Dehui.

    Published 2012
    “…Detection and segmentation of the column of vertebral bodies are intermediate steps required to identify the bone marrow which is considered as the wrongly labeled visceral adipose tissue in the assessment of abdominal obesity. …”
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    Final Year Project (FYP)
  3. 183

    Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images by Tian, Jing, Marziliano, Pina, Baskaran, Mani, Tun, Tin Aung, Aung, Tin

    Published 2013
    “…This labeling process is tedious and subjective of inter-observer differences, hence, automatic segmentation of the choroid layer is highly desirable. …”
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    Journal Article
  4. 184

    Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

    Published 2019
    “…We introduce the basics of coalescent theory to understand IBD segments detection and then pro- vide an overview of a state-of-the art methods for detecting IBD segments, comparing the most commonly used and recent existing methods. …”
    Thesis
  5. 185

    Rethinking semi-supervised medical image segmentation: a variance-reduction perspective by You, C, Dai, W, Min, Y, Liu, F, Clifton, DA, Zhou, SK, Staib, L, Duncan, JS

    Published 2023
    “…For medical image segmentation, contrastive learning is the dominant practice to improve the quality of visual representations by contrasting semantically similar and dissimilar pairs of samples. …”
    Conference item
  6. 186

    OpenOFM: an open-source implementation of the multi-segment Oxford Foot Model by Dixon, P, Drew, E, McBride, S, Harrington, M, Stebbins, J, Zavatsky, A

    Published 2025
    “…Evaluation was conducted using the normalised root mean square error (NRMSE) between the inter-segment angles and arch heights of both implementations. …”
    Journal article
  7. 187

    BiCoS: a bi-level co-segmentation method for image classification by Chai, Y, Lempitsky, V, Zisserman, A

    Published 2012
    “…The objective of this paper is the unsupervised segmentation of image training sets into foreground and background in order to improve image classification performance. …”
    Conference item
  8. 188

    Attention and positive sentiments towards carbon dioxide removal have grown on social media over the past decade by Repke, T, Müller-Hansen, F, Cox, E, Minx, JC

    Published 2024
    “…Here, we analyse attention and sentiments towards ten CDR methods using Twitter data from 2010 to 2022. …”
    Journal article
  9. 189

    Attention and positive sentiments towards carbon dioxide removal have grown on social media over the past decade by Repke, T, Müller-Hansen, F, Minx, JC, Cox, E

    Published 2024
    “…Here, we analyse attention and sentiments towards ten CDR methods using Twitter data from 2010 to 2022. …”
    Journal article
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  15. 195

    Constructing Convex Inner Approximations of Steady-State Security Regions by Nguyen, Hung D., Dvijotham, Krishnamurthy, Turitsyn, Konstantin

    Published 2024
    “…It establishes a certificate for the self-mapping of a polytope region constructed around a given feasible operating point. …”
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    Article
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  19. 199

    An achievable region for double-unicast networks with linear network coding by Zeng, Yong, Ho, Tracey, Guan, Yong Liang, Xu, Xiaoli

    Published 2014
    “…In this paper, we present an achievable rate region for double-unicast networks by assuming that the intermediate nodes perform random linear network coding, and the source and sink nodes optimize their strategies to maximize the achievable region. …”
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    Journal Article
  20. 200

    Rain attenuation prediction model for satellite communications in tropical regions by Yeo, Jun Xiang, Lee, Yee Hui, Ong, Jin Teong

    Published 2014
    “…Results show that although three of these models have relatively good prediction capability for the tropical region, they could be improved. Therefore, in this paper, a slant path rain attenuation model suitable for the tropical region is proposed. …”
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    Journal Article