Showing 61 - 80 results of 559 for search '((regimens OR regimess) OR (segments OR regimen))', query time: 0.11s Refine Results
  1. 61

    Measurement of brain structures based on statistical and geometrical 3D segmentation by ángel, M, Ballester, G, Zisserman, A, Brady, M

    Published 2006
    “…In this paper we present a novel method for three-dimensional segmentation and measurement of volumetric data based on the combination of statistical and geometrical information. …”
    Conference item
  2. 62

    The four facets of self-collection service for e-commerce delivery : conceptualisation and latent class analysis of user segments by Wang, Xueqin, Wong, Yiik Diew, Teo, Chee Chong, Yuen, Kum Fai, Feng, Xuehao

    Published 2021
    “…Based on the conceptualisation, five latent segments of the service are identified, which are labelled as Patrons, Traditionalists, Self-enhancers, Green-lovers and Haters (from the largest to the smallest segment). …”
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    Journal Article
  3. 63

    Optimum transmitter current distribution for dynamic wireless power transfer with segmented array by Jayathurathnage, Prasad Kumara Sampath, Alphones, Arokiaswami, Vilathgamuwa, D. Mahinda, Ong, Andrew

    Published 2020
    “…The misalignment problem is a major challenge in dynamic wireless power transfer systems with a segmented transmitter (Tx) array. Tx coils farther away from receiver (Rx) experience higher currents as compared to Tx coils nearer to Rx coil leading to higher losses and lower performances. …”
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    Journal Article
  4. 64

    Dual attention deep learning network for automatic steel surface defect segmentation by Pan, Yue, Zhang, Limao

    Published 2022
    “…Experimental results show that, compared with other deep learning models, DAN-DeepLabv3+ based on the Xception backbone exhibits the best segmentation performance under the mean intersection over union (IoU) of 89.95% and the frequency-weighted IoU of 97.34%. …”
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    Journal Article
  5. 65
  6. 66

    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
  7. 67

    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)
  8. 68

    A study on Stevedoring companies and their operations in Singapore : break bulk shipping segment by Ng, Donovan Chun Hong

    Published 2018
    “…Just as how the break bulk shipping segment has not disappeared after containerization, but has changed in nature to become a specialised sector, handling goods which are challenging to transport in containers or where containerization does not represent a valid and cost-efficient mode of transport.…”
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    Final Year Project (FYP)
  9. 69

    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
  10. 70

    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
  11. 71

    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
  12. 72

    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
  13. 73

    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
  14. 74
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  16. 76

    Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

    Published 2022
    “…Few-shot point cloud semantic segmentation learns to segment novel classes with scarce labeled samples. …”
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    Journal Article
  17. 77

    Leveraging mixed data sources for enhanced road segmentation in synthetic aperture radar images by Lan, Tian, He, Shuting, Qing, Yuanyuan, Wen, Bihan

    Published 2024
    “…In this study, we tackle the task of road segmentation from Synthetic Aperture Radar (SAR) imagery, which is vital for remote sensing applications including urban planning and disaster management. …”
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    Journal Article
  18. 78
  19. 79

    A binary level set model and some applications to Mumford-Shah image segmentation by Lie, Johan, Lysaker, Marius, Tai, Xue Cheng

    Published 2009
    “…We show numerical results using the method for segmentation of digital images.…”
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    Journal Article
  20. 80