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.

Bibliographic Details
Main Authors: ShuFen Liang (10297268), Huilin Liu (346783), Chen Chen (6544), Chuanbo Qin (10297271), FangChen Yang (10297274), Yue Feng (158140), Zhuosheng Lin (10297277)
Format: Still Image
Language:unknown
Published: 2021
Subjects:
MRI
Online Access:https://doi.org/10.1371/journal.pone.0248303.g007
id ftsmithonian:oai:figshare.com:article/14209742
record_format openpolar
spelling 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
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language 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 Attu
genre_facet 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
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