Lesions segmentation results in each model.
<p>Comparisone of apparent diffusion coefficient and diffusion-weighted image predictions from different images.</p>
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2025
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| _version_ | 1852019488587776000 |
|---|---|
| author | Seok Jin Bang (13028202) |
| author2 | Yong-Tae Kim (249037) Young Jae Kim (8098697) Kwang Gi Kim (10654900) |
| author2_role | author author author |
| author_facet | Seok Jin Bang (13028202) Yong-Tae Kim (249037) Young Jae Kim (8098697) Kwang Gi Kim (10654900) |
| author_role | author |
| dc.creator.none.fl_str_mv | Seok Jin Bang (13028202) Yong-Tae Kim (249037) Young Jae Kim (8098697) Kwang Gi Kim (10654900) |
| dc.date.none.fl_str_mv | 2025-06-09T17:37:36Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0324021.g005 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Lesions_segmentation_results_in_each_model_/29271981 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified second leading cause fully connected network dice similarity coefficient validated using five fcn model exhibited xlink "> stroke ischemic stroke collected constructed using data net model demonstrated artificial intelligence models apparent diffusion coefficient lesion segmentation performance dsc ), accuracy adc images based lesion segmentation fcn ), conducted using image data evaluated based adc based stroke diagnosis weighted imaging utilizing images training models trained models retrospective design future research fold cross different b deaths worldwide comparing diffusion comparative analysis adc images 360 patients |
| dc.title.none.fl_str_mv | Lesions segmentation results in each model. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Comparisone of apparent diffusion coefficient and diffusion-weighted image predictions from different images.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_dacb71ff308f4be28c5fc405caef2bef |
| identifier_str_mv | 10.1371/journal.pone.0324021.g005 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29271981 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Lesions segmentation results in each model.Seok Jin Bang (13028202)Yong-Tae Kim (249037)Young Jae Kim (8098697)Kwang Gi Kim (10654900)MedicineSpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedsecond leading causefully connected networkdice similarity coefficientvalidated using fivefcn model exhibitedxlink "> strokeischemic stroke collectedconstructed using datanet model demonstratedartificial intelligence modelsapparent diffusion coefficientlesion segmentation performancedsc ), accuracyadc images basedlesion segmentationfcn ),conducted usingimage dataevaluated basedadc basedstroke diagnosisweighted imagingutilizing imagestraining modelstrained modelsretrospective designfuture researchfold crossdifferent bdeaths worldwidecomparing diffusioncomparative analysisadc images360 patients<p>Comparisone of apparent diffusion coefficient and diffusion-weighted image predictions from different images.</p>2025-06-09T17:37:36ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0324021.g005https://figshare.com/articles/figure/Lesions_segmentation_results_in_each_model_/29271981CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/292719812025-06-09T17:37:36Z |
| spellingShingle | Lesions segmentation results in each model. Seok Jin Bang (13028202) Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified second leading cause fully connected network dice similarity coefficient validated using five fcn model exhibited xlink "> stroke ischemic stroke collected constructed using data net model demonstrated artificial intelligence models apparent diffusion coefficient lesion segmentation performance dsc ), accuracy adc images based lesion segmentation fcn ), conducted using image data evaluated based adc based stroke diagnosis weighted imaging utilizing images training models trained models retrospective design future research fold cross different b deaths worldwide comparing diffusion comparative analysis adc images 360 patients |
| status_str | publishedVersion |
| title | Lesions segmentation results in each model. |
| title_full | Lesions segmentation results in each model. |
| title_fullStr | Lesions segmentation results in each model. |
| title_full_unstemmed | Lesions segmentation results in each model. |
| title_short | Lesions segmentation results in each model. |
| title_sort | Lesions segmentation results in each model. |
| topic | Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified second leading cause fully connected network dice similarity coefficient validated using five fcn model exhibited xlink "> stroke ischemic stroke collected constructed using data net model demonstrated artificial intelligence models apparent diffusion coefficient lesion segmentation performance dsc ), accuracy adc images based lesion segmentation fcn ), conducted using image data evaluated based adc based stroke diagnosis weighted imaging utilizing images training models trained models retrospective design future research fold cross different b deaths worldwide comparing diffusion comparative analysis adc images 360 patients |