Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.
<p>Comparison of tracing algorithms on SHG image (region of interest) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0320006#pone.0320006.ref040" target="_blank">40</a>]. Image was applied to algorithms with three different filters: Origi...
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| مؤلفون آخرون: | , , |
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2025
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إضافة وسم
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| _version_ | 1852021375636602880 |
|---|---|
| author | Youssef Arafat (21009293) |
| author2 | Cristina Cuesta-Apausa (20441070) Esther Castellano (9092981) Constantino Carlos Reyes-Aldasoro (7345223) |
| author2_role | author author author |
| author_facet | Youssef Arafat (21009293) Cristina Cuesta-Apausa (20441070) Esther Castellano (9092981) Constantino Carlos Reyes-Aldasoro (7345223) |
| author_role | author |
| dc.creator.none.fl_str_mv | Youssef Arafat (21009293) Cristina Cuesta-Apausa (20441070) Esther Castellano (9092981) Constantino Carlos Reyes-Aldasoro (7345223) |
| dc.date.none.fl_str_mv | 2025-04-10T20:07:49Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0320006.g012 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Comparison_of_tracing_algorithms_on_SHG_image_region_of_interest_40_Image_was_applied_to_algorithms_with_three_different_filters_Original_no_filtering_Gaussian_and_DnCnn_Data_corresponds_to_the_images_traced_GT_is_the_manually_delineated_gr/28774182 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified six existing methodologies computer vision pipelines single algorithm outperformed vastly distinctive characteristics div >< p trace ridges </ trace biomedical images total distance error processing filtering options trace ridges biomedical images trace_ridges </ processing time maximum distance fast algorithm biomedical applications watershed transform three pre slightly slower scale space rapid time paper presents objective comparison manual delineation like structures learning filtering important task ground truth graph based gaussian low fully automatic freely available first step extracellular matrix elongated structures edge detection ct fire certain treatment accurate delineation |
| dc.title.none.fl_str_mv | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Comparison of tracing algorithms on SHG image (region of interest) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0320006#pone.0320006.ref040" target="_blank">40</a>]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_ca10aec3b5b3fcd2f0812d7b4238e445 |
| identifier_str_mv | 10.1371/journal.pone.0320006.g012 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28774182 |
| 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 of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.Youssef Arafat (21009293)Cristina Cuesta-Apausa (20441070)Esther Castellano (9092981)Constantino Carlos Reyes-Aldasoro (7345223)BiophysicsMedicineSpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedsix existing methodologiescomputer vision pipelinessingle algorithm outperformedvastly distinctive characteristicsdiv >< ptrace ridges </trace biomedical imagestotal distance errorprocessing filtering optionstrace ridgesbiomedical imagestrace_ridges </processing timemaximum distancefast algorithmbiomedical applicationswatershed transformthree preslightly slowerscale spacerapid timepaper presentsobjective comparisonmanual delineationlike structureslearning filteringimportant taskground truthgraph basedgaussian lowfully automaticfreely availablefirst stepextracellular matrixelongated structuresedge detectionct firecertain treatmentaccurate delineation<p>Comparison of tracing algorithms on SHG image (region of interest) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0320006#pone.0320006.ref040" target="_blank">40</a>]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white.</p>2025-04-10T20:07:49ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0320006.g012https://figshare.com/articles/figure/Comparison_of_tracing_algorithms_on_SHG_image_region_of_interest_40_Image_was_applied_to_algorithms_with_three_different_filters_Original_no_filtering_Gaussian_and_DnCnn_Data_corresponds_to_the_images_traced_GT_is_the_manually_delineated_gr/28774182CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/287741822025-04-10T20:07:49Z |
| spellingShingle | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. Youssef Arafat (21009293) Biophysics Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified six existing methodologies computer vision pipelines single algorithm outperformed vastly distinctive characteristics div >< p trace ridges </ trace biomedical images total distance error processing filtering options trace ridges biomedical images trace_ridges </ processing time maximum distance fast algorithm biomedical applications watershed transform three pre slightly slower scale space rapid time paper presents objective comparison manual delineation like structures learning filtering important task ground truth graph based gaussian low fully automatic freely available first step extracellular matrix elongated structures edge detection ct fire certain treatment accurate delineation |
| status_str | publishedVersion |
| title | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. |
| title_full | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. |
| title_fullStr | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. |
| title_full_unstemmed | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. |
| title_short | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. |
| title_sort | Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds to the images traced; GT is the manually delineated ground truth. For the evaluation of Tracing Algorithms, the GT fibres are represented in red, algorithm tracing is depicted in blue and areas where they overlap is white. |
| topic | Biophysics Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified six existing methodologies computer vision pipelines single algorithm outperformed vastly distinctive characteristics div >< p trace ridges </ trace biomedical images total distance error processing filtering options trace ridges biomedical images trace_ridges </ processing time maximum distance fast algorithm biomedical applications watershed transform three pre slightly slower scale space rapid time paper presents objective comparison manual delineation like structures learning filtering important task ground truth graph based gaussian low fully automatic freely available first step extracellular matrix elongated structures edge detection ct fire certain treatment accurate delineation |