Showing 1 - 20 results of 156 for search '"dice"', query time: 0.06s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

    Les dés sont jetés ! by Pascale Dollfus

    Published 2021-01-01
    Subjects:
    Get full text
    Article
  8. 8
  9. 9
  10. 10

    Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case by R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov

    Published 2024-06-01
    “…As a result of our study, macro dice score for classes of interest reaches 83.12% ± 4.27%. …”
    Get full text
    Article
  11. 11

    Improving Crack Detection Precision of Concrete Structures Using U-Net Architecture and Novel DBCE Loss Function by Andrew Prasetyo, I Ketut Eddy Purnama, Eko Mulyanto Yuniarno, Priyo Suprobo

    Published 2025-01-01
    “…The proposed method is 7.69% ahead of the largest comparison method (DICE Loss) on Average IOU, while on Average Precission is leading 6.72% ahead of the largest comparison method (DICE). …”
    Get full text
    Article
  12. 12
  13. 13

    Low-Power Optically Controlled Patch Antenna of Reconfigurable Beams by Deshuang Zhao, Yifei Han, Feng Liang, Qiaoli Zhang, Bing-Zhong Wang

    Published 2014-01-01
    “…Such design is based on the fact that the current phase change of the parasitic patch is sensitive to the conductivity of the silicon dice. A few conductivity changes of the silicon dice induced by the optical light can lead to a big phase change of the parasitic patch currents, eventually resulting in reconfigurable beams with low optical power requirement.…”
    Get full text
    Article
  14. 14

    Comparison of Fully Convolutional Networks and U-Net for Optic Disc and Optic Cup Segmentation by Jin Zixiao

    Published 2025-01-01
    “…In our experiment, the U-Net model yields more accurate segmentation results with 0.9601 average pixel accuracy and 0.9255 dice score for OD segmentation, outperforming the FCNs model with 0.9560 average pixel accuracy and 0.9132 dice score for OD segmentation. …”
    Get full text
    Article
  15. 15
  16. 16
  17. 17

    Skin Lesion Image Segmentation Algorithm Based on MC-UNet by Guihua Yang, Bingxing Pan

    Published 2025-01-01
    “…On the ISIC2017 dataset, it achieves a Dice coefficient of 89.43%, an accuracy of 94.81%, and a sensitivity of 90.41%. …”
    Get full text
    Article
  18. 18

    Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

    Published 2023-10-01
    “…The suggested pipeline provides a Dice improvement of 12.0 %, sensitivity of 10.2 % and precision 10.0 % over the baseline and achieves an average Dice of 62.8 ± 3.3 %, sensitivity of 69.9 ± 3.9 %, specificity of 99.7 ± 0.2 % and precision of 61.9 ± 3.6 %, showing promising segmentation results.…”
    Get full text
    Article
  19. 19

    Segment anything model for few-shot medical image segmentation with domain tuning by Weili Shi, Penglong Zhang, Yuqin Li, Zhengang Jiang

    Published 2024-11-01
    “…With just one labeled data, achieving a Dice score of 63.51%, a HD of 17.94 and an IoU score of 73.55% on Heart Task, on Prostate Task, an average Dice score of 46.01%, a HD of 10.25 and an IoU score of 65.92% were achieved, and the Dice, HD, and IoU score reaching 88.67%, 10.63, and 90.19% on BUSI. …”
    Get full text
    Article
  20. 20

    An In-depth Analysis of Rendered Models using Blender : A Research Result by Oluwafunmilayo Raheem, Bourdillon Omijeh, Chinagorom Ibeachu

    Published 2024-12-01
    “…To evaluate the efficiency of the virtual reality system we compared the web application with other existing web applications using parameters such as Accuracy, Precision, Jaccard index, Dice co-efficient, Processing time, and user rating. …”
    Get full text
    Article