Comparison images of ideal segmentation results and predicted results for three types of plaques.
<p>(A) Original OCT image of calcified, fibrous and lipid plaque. (B) Ideal segmentation image of calcified, fibrous and lipid plaque. (C) Predicted segmentation image of calcified, fibrous and lipid plaque.</p>
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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| _version_ | 1852019438075772928 |
|---|---|
| author | He Meng (33363) |
| author2 | Ran Zhao (337603) Ying Zhang (40767) Bo Zhang (6559) Cheng Zhang (70708) Di Wang (329735) Jinlu Sun (12539914) |
| author2_role | author author author author author author |
| author_facet | He Meng (33363) Ran Zhao (337603) Ying Zhang (40767) Bo Zhang (6559) Cheng Zhang (70708) Di Wang (329735) Jinlu Sun (12539914) |
| author_role | author |
| dc.creator.none.fl_str_mv | He Meng (33363) Ran Zhao (337603) Ying Zhang (40767) Bo Zhang (6559) Cheng Zhang (70708) Di Wang (329735) Jinlu Sun (12539914) |
| dc.date.none.fl_str_mv | 2025-06-10T17:57:34Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0325911.g006 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Comparison_images_of_ideal_segmentation_results_and_predicted_results_for_three_types_of_plaques_/29285234 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Cell Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified precise decision support outcomes strongly attest optical coherence tomography future research endeavors experimental results demonstrate dense atrous convolution plaque recognition algorithm div >< p coronary artery plaques coronary oct images coronary arteries proposed algorithm plaque segmentation significant resource relatively well realize high primarily carried precision segmentation lipid plaques furnish efficient dice </ dataset serves automated detection attention mechanism |
| dc.title.none.fl_str_mv | Comparison images of ideal segmentation results and predicted results for three types of plaques. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(A) Original OCT image of calcified, fibrous and lipid plaque. (B) Ideal segmentation image of calcified, fibrous and lipid plaque. (C) Predicted segmentation image of calcified, fibrous and lipid plaque.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_fb1da5dd2c209b1cd5a968abf2da7230 |
| identifier_str_mv | 10.1371/journal.pone.0325911.g006 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29285234 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Comparison images of ideal segmentation results and predicted results for three types of plaques.He Meng (33363)Ran Zhao (337603)Ying Zhang (40767)Bo Zhang (6559)Cheng Zhang (70708)Di Wang (329735)Jinlu Sun (12539914)MedicineCell BiologySpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedprecise decision supportoutcomes strongly attestoptical coherence tomographyfuture research endeavorsexperimental results demonstratedense atrous convolutionplaque recognition algorithmdiv >< pcoronary artery plaquescoronary oct imagescoronary arteriesproposed algorithmplaque segmentationsignificant resourcerelatively wellrealize highprimarily carriedprecision segmentationlipid plaquesfurnish efficientdice </dataset servesautomated detectionattention mechanism<p>(A) Original OCT image of calcified, fibrous and lipid plaque. (B) Ideal segmentation image of calcified, fibrous and lipid plaque. (C) Predicted segmentation image of calcified, fibrous and lipid plaque.</p>2025-06-10T17:57:34ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0325911.g006https://figshare.com/articles/figure/Comparison_images_of_ideal_segmentation_results_and_predicted_results_for_three_types_of_plaques_/29285234CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292852342025-06-10T17:57:34Z |
| spellingShingle | Comparison images of ideal segmentation results and predicted results for three types of plaques. He Meng (33363) Medicine Cell Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified precise decision support outcomes strongly attest optical coherence tomography future research endeavors experimental results demonstrate dense atrous convolution plaque recognition algorithm div >< p coronary artery plaques coronary oct images coronary arteries proposed algorithm plaque segmentation significant resource relatively well realize high primarily carried precision segmentation lipid plaques furnish efficient dice </ dataset serves automated detection attention mechanism |
| status_str | publishedVersion |
| title | Comparison images of ideal segmentation results and predicted results for three types of plaques. |
| title_full | Comparison images of ideal segmentation results and predicted results for three types of plaques. |
| title_fullStr | Comparison images of ideal segmentation results and predicted results for three types of plaques. |
| title_full_unstemmed | Comparison images of ideal segmentation results and predicted results for three types of plaques. |
| title_short | Comparison images of ideal segmentation results and predicted results for three types of plaques. |
| title_sort | Comparison images of ideal segmentation results and predicted results for three types of plaques. |
| topic | Medicine Cell Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified precise decision support outcomes strongly attest optical coherence tomography future research endeavors experimental results demonstrate dense atrous convolution plaque recognition algorithm div >< p coronary artery plaques coronary oct images coronary arteries proposed algorithm plaque segmentation significant resource relatively well realize high primarily carried precision segmentation lipid plaques furnish efficient dice </ dataset serves automated detection attention mechanism |