2 datasets found

  1. Comparison of our work to liver tumour segmentation state-of-the-art...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Liangsheng Wu; Jiajun Zhuang; Weizhao Chen; Yu Tang; Chaojun Hou; Chentong Li; Zhenyu Zhong; Shaoming Luo (2023). Comparison of our work to liver tumour segmentation state-of-the-art methods. [Dataset]. http://doi.org/10.1371/journal.pone.0274522.t007
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    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0274522.t007
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Liangsheng Wu; Jiajun Zhuang; Weizhao Chen; Yu Tang; Chaojun Hou; Chentong Li; Zhenyu Zhong; Shaoming Luo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    All results are multiplied by 1000 and the bold font highlights the best results.

  2. f

    MCL-FWA-BILSTM accuracy comparison with existing approaches for multiclass...

    • plos.figshare.com
    xls
    Updated May 23, 2024
    + more versions
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    Arshad Hashmi; Omar M. Barukab; Ahmad Hamza Osman (2024). MCL-FWA-BILSTM accuracy comparison with existing approaches for multiclass classification with state of art on UNSW-NB15 or NSL-KDD. [Dataset]. http://doi.org/10.1371/journal.pone.0302294.t011
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0302294.t011
    Dataset updated
    May 23, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Arshad Hashmi; Omar M. Barukab; Ahmad Hamza Osman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    MCL-FWA-BILSTM accuracy comparison with existing approaches for multiclass classification with state of art on UNSW-NB15 or NSL-KDD.

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Share
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Click to copy link
Link copied
Close
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Liangsheng Wu; Jiajun Zhuang; Weizhao Chen; Yu Tang; Chaojun Hou; Chentong Li; Zhenyu Zhong; Shaoming Luo (2023). Comparison of our work to liver tumour segmentation state-of-the-art methods. [Dataset]. http://doi.org/10.1371/journal.pone.0274522.t007
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Comparison of our work to liver tumour segmentation state-of-the-art methods.

Related Article
Explore at:
xlsAvailable download formats
Unique identifier
https://doi.org/10.1371/journal.pone.0274522.t007
Dataset updated
Jun 13, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Liangsheng Wu; Jiajun Zhuang; Weizhao Chen; Yu Tang; Chaojun Hou; Chentong Li; Zhenyu Zhong; Shaoming Luo
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

All results are multiplied by 1000 and the bold font highlights the best results.

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