Sample results of classic and proposed networks.
Top row: Examples of the spine were tested in the six classic methods (U-Net, FCN, AttU-Net, R2U-Net, CE-Net, DenseU-Net, respectively). Bottom row: the six proposed DenseX-Net.
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ftsmithonian:oai:figshare.com:article/14209742 2023-05-15T15:33:29+02:00 Sample results of classic and proposed networks. ShuFen Liang (10297268) Huilin Liu (346783) Chen Chen (6544) Chuanbo Qin (10297271) FangChen Yang (10297274) Yue Feng (158140) Zhuosheng Lin (10297277) 2021-03-12T18:33:56Z https://doi.org/10.1371/journal.pone.0248303.g007 unknown https://figshare.com/articles/figure/Sample_results_of_classic_and_proposed_networks_/14209742 doi:10.1371/journal.pone.0248303.g007 CC BY 4.0 CC-BY Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified Boundary F 1-Score feature fusion richer-detail edge information method segmentation MRI Traditional codec networks convolution module Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0248303.g007 2021-03-23T16:46:56Z Top row: Examples of the spine were tested in the six classic methods (U-Net, FCN, AttU-Net, R2U-Net, CE-Net, DenseU-Net, respectively). Bottom row: the six proposed DenseX-Net. Still Image Attu Unknown |
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op_collection_id |
ftsmithonian |
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unknown |
topic |
Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified Boundary F 1-Score feature fusion richer-detail edge information method segmentation MRI Traditional codec networks convolution module |
spellingShingle |
Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified Boundary F 1-Score feature fusion richer-detail edge information method segmentation MRI Traditional codec networks convolution module ShuFen Liang (10297268) Huilin Liu (346783) Chen Chen (6544) Chuanbo Qin (10297271) FangChen Yang (10297274) Yue Feng (158140) Zhuosheng Lin (10297277) Sample results of classic and proposed networks. |
topic_facet |
Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified Boundary F 1-Score feature fusion richer-detail edge information method segmentation MRI Traditional codec networks convolution module |
description |
Top row: Examples of the spine were tested in the six classic methods (U-Net, FCN, AttU-Net, R2U-Net, CE-Net, DenseU-Net, respectively). Bottom row: the six proposed DenseX-Net. |
format |
Still Image |
author |
ShuFen Liang (10297268) Huilin Liu (346783) Chen Chen (6544) Chuanbo Qin (10297271) FangChen Yang (10297274) Yue Feng (158140) Zhuosheng Lin (10297277) |
author_facet |
ShuFen Liang (10297268) Huilin Liu (346783) Chen Chen (6544) Chuanbo Qin (10297271) FangChen Yang (10297274) Yue Feng (158140) Zhuosheng Lin (10297277) |
author_sort |
ShuFen Liang (10297268) |
title |
Sample results of classic and proposed networks. |
title_short |
Sample results of classic and proposed networks. |
title_full |
Sample results of classic and proposed networks. |
title_fullStr |
Sample results of classic and proposed networks. |
title_full_unstemmed |
Sample results of classic and proposed networks. |
title_sort |
sample results of classic and proposed networks. |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pone.0248303.g007 |
genre |
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Attu |
op_relation |
https://figshare.com/articles/figure/Sample_results_of_classic_and_proposed_networks_/14209742 doi:10.1371/journal.pone.0248303.g007 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0248303.g007 |
_version_ |
1766364039399604224 |