Performance comparison of our method with existing methods in image type identification.
<p>Performance comparison of our method with existing methods in image type identification.</p>
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2025
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| _version_ | 1852022572466569216 |
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| author | Faqir Gul (20760068) |
| author2 | Mohsin Shah (3144564) Mushtaq Ali (3598514) Lal Hussain (14100502) Touseef Sadiq (20175797) Adeel Ahmed Abbasi (20760071) Mohammad Shahbaz Khan (17140693) Badr S. Alkahtani (20760074) |
| author2_role | author author author author author author author |
| author_facet | Faqir Gul (20760068) Mohsin Shah (3144564) Mushtaq Ali (3598514) Lal Hussain (14100502) Touseef Sadiq (20175797) Adeel Ahmed Abbasi (20760071) Mohammad Shahbaz Khan (17140693) Badr S. Alkahtani (20760074) |
| author_role | author |
| dc.creator.none.fl_str_mv | Faqir Gul (20760068) Mohsin Shah (3144564) Mushtaq Ali (3598514) Lal Hussain (14100502) Touseef Sadiq (20175797) Adeel Ahmed Abbasi (20760071) Mohammad Shahbaz Khan (17140693) Badr S. Alkahtani (20760074) |
| dc.date.none.fl_str_mv | 2025-02-20T18:26:34Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0315823.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Performance_comparison_of_our_method_with_existing_methods_in_image_type_identification_/28453031 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Medicine Cell Biology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified publicly available datasets performs efficient segmentation g ., x including imageclefmed 2013 image type identification facilitates fast retrieval panel image types irregular image layouts xlink "> multi significantly enhances sub represent approximately 50 patient &# 8217 novel hybrid framework panel images play irregular medical images panel image image retrieval irregular multi proposed framework imageclefmed 2016 hybrid multi consolidated image medical images medical literature medical diagnostics images serve various multi thorough representation paper presents morphological operations important tools extracting sub essential role ct scans consolidated multi component sub achieving accurate |
| dc.title.none.fl_str_mv | Performance comparison of our method with existing methods in image type identification. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Performance comparison of our method with existing methods in image type identification.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_1f44cf8a2deebfc2fc518297db996bb2 |
| identifier_str_mv | 10.1371/journal.pone.0315823.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28453031 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Performance comparison of our method with existing methods in image type identification.Faqir Gul (20760068)Mohsin Shah (3144564)Mushtaq Ali (3598514)Lal Hussain (14100502)Touseef Sadiq (20175797)Adeel Ahmed Abbasi (20760071)Mohammad Shahbaz Khan (17140693)Badr S. Alkahtani (20760074)BiochemistryMedicineCell BiologyBiotechnologyScience PolicySpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedpublicly available datasetsperforms efficient segmentationg ., xincluding imageclefmed 2013image type identificationfacilitates fast retrievalpanel image typesirregular image layoutsxlink "> multisignificantly enhances subrepresent approximately 50patient &# 8217novel hybrid frameworkpanel images playirregular medical imagespanel imageimage retrievalirregular multiproposed frameworkimageclefmed 2016hybrid multiconsolidated imagemedical imagesmedical literaturemedical diagnosticsimages servevarious multithorough representationpaper presentsmorphological operationsimportant toolsextracting subessential rolect scansconsolidated multicomponent subachieving accurate<p>Performance comparison of our method with existing methods in image type identification.</p>2025-02-20T18:26:34ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0315823.t001https://figshare.com/articles/dataset/Performance_comparison_of_our_method_with_existing_methods_in_image_type_identification_/28453031CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/284530312025-02-20T18:26:34Z |
| spellingShingle | Performance comparison of our method with existing methods in image type identification. Faqir Gul (20760068) Biochemistry Medicine Cell Biology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified publicly available datasets performs efficient segmentation g ., x including imageclefmed 2013 image type identification facilitates fast retrieval panel image types irregular image layouts xlink "> multi significantly enhances sub represent approximately 50 patient &# 8217 novel hybrid framework panel images play irregular medical images panel image image retrieval irregular multi proposed framework imageclefmed 2016 hybrid multi consolidated image medical images medical literature medical diagnostics images serve various multi thorough representation paper presents morphological operations important tools extracting sub essential role ct scans consolidated multi component sub achieving accurate |
| status_str | publishedVersion |
| title | Performance comparison of our method with existing methods in image type identification. |
| title_full | Performance comparison of our method with existing methods in image type identification. |
| title_fullStr | Performance comparison of our method with existing methods in image type identification. |
| title_full_unstemmed | Performance comparison of our method with existing methods in image type identification. |
| title_short | Performance comparison of our method with existing methods in image type identification. |
| title_sort | Performance comparison of our method with existing methods in image type identification. |
| topic | Biochemistry Medicine Cell Biology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified publicly available datasets performs efficient segmentation g ., x including imageclefmed 2013 image type identification facilitates fast retrieval panel image types irregular image layouts xlink "> multi significantly enhances sub represent approximately 50 patient &# 8217 novel hybrid framework panel images play irregular medical images panel image image retrieval irregular multi proposed framework imageclefmed 2016 hybrid multi consolidated image medical images medical literature medical diagnostics images serve various multi thorough representation paper presents morphological operations important tools extracting sub essential role ct scans consolidated multi component sub achieving accurate |