The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D).
<p>The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D).</p>
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2025
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| _version_ | 1852015393453899776 |
|---|---|
| author | Yiran Li (1818355) |
| author2 | Zonghan Liu (12521164) Yi Qian (466487) Kang Wang (415359) Yijun Gu (16620079) Yan Chen (4308) Haozheng Jiang (20666265) Shuqun Cheng (151531) Dong Jiang (159266) |
| author2_role | author author author author author author author author |
| author_facet | Yiran Li (1818355) Zonghan Liu (12521164) Yi Qian (466487) Kang Wang (415359) Yijun Gu (16620079) Yan Chen (4308) Haozheng Jiang (20666265) Shuqun Cheng (151531) Dong Jiang (159266) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yiran Li (1818355) Zonghan Liu (12521164) Yi Qian (466487) Kang Wang (415359) Yijun Gu (16620079) Yan Chen (4308) Haozheng Jiang (20666265) Shuqun Cheng (151531) Dong Jiang (159266) |
| dc.date.none.fl_str_mv | 2025-10-29T17:35:23Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0334099.g003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/The_area_under_the_curve_AUC_of_the_radiomics_signature_model_on_both_the_train_A_and_B_and_test_cohorts_C_and_D_/30481778 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Medicine Genetics Molecular Biology Pharmacology Biotechnology Marine Biology Cancer Infectious Diseases Plant Biology Virology unresectable hepatocellular carcinoma combined targeted therapy atezolizumab plus bevacizumab separate ur models predict treatment efficacy xlink "> validation group two groups train group therapeutic efficacy radiomics models particularly highlighting model performance effective treatment cutoff value assessment methods |
| dc.title.none.fl_str_mv | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_b5d3c72996147bd3bcb2cea8c19e5b89 |
| identifier_str_mv | 10.1371/journal.pone.0334099.g003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30481778 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D).Yiran Li (1818355)Zonghan Liu (12521164)Yi Qian (466487)Kang Wang (415359)Yijun Gu (16620079)Yan Chen (4308)Haozheng Jiang (20666265)Shuqun Cheng (151531)Dong Jiang (159266)BiochemistryMedicineGeneticsMolecular BiologyPharmacologyBiotechnologyMarine BiologyCancerInfectious DiseasesPlant BiologyVirologyunresectable hepatocellular carcinomacombined targeted therapyatezolizumab plus bevacizumabseparate ur modelspredict treatment efficacyxlink ">validation grouptwo groupstrain grouptherapeutic efficacyradiomics modelsparticularly highlightingmodel performanceeffective treatmentcutoff valueassessment methods<p>The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D).</p>2025-10-29T17:35:23ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0334099.g003https://figshare.com/articles/figure/The_area_under_the_curve_AUC_of_the_radiomics_signature_model_on_both_the_train_A_and_B_and_test_cohorts_C_and_D_/30481778CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/304817782025-10-29T17:35:23Z |
| spellingShingle | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). Yiran Li (1818355) Biochemistry Medicine Genetics Molecular Biology Pharmacology Biotechnology Marine Biology Cancer Infectious Diseases Plant Biology Virology unresectable hepatocellular carcinoma combined targeted therapy atezolizumab plus bevacizumab separate ur models predict treatment efficacy xlink "> validation group two groups train group therapeutic efficacy radiomics models particularly highlighting model performance effective treatment cutoff value assessment methods |
| status_str | publishedVersion |
| title | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). |
| title_full | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). |
| title_fullStr | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). |
| title_full_unstemmed | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). |
| title_short | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). |
| title_sort | The area under the curve (AUC) of the radiomics signature model on both the train (A and B) and test cohorts (C and D). |
| topic | Biochemistry Medicine Genetics Molecular Biology Pharmacology Biotechnology Marine Biology Cancer Infectious Diseases Plant Biology Virology unresectable hepatocellular carcinoma combined targeted therapy atezolizumab plus bevacizumab separate ur models predict treatment efficacy xlink "> validation group two groups train group therapeutic efficacy radiomics models particularly highlighting model performance effective treatment cutoff value assessment methods |