{"id":"https://openalex.org/W7131288392","doi":"https://doi.org/10.1186/s12880-026-02221-6","title":"Deep learning models for pulmonary embolism segmentation on dual-energy CT: performance analysis and image quality correlation","display_name":"Deep learning models for pulmonary embolism segmentation on dual-energy CT: performance analysis and image quality correlation","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131288392","doi":"https://doi.org/10.1186/s12880-026-02221-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/41735881"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-026-02221-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-026-02221-6","pdf_url":null,"source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s12880-026-02221-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074393135","display_name":"Z.Y. Liu","orcid":"https://orcid.org/0009-0006-6029-2203"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxiao Liu","raw_affiliation_strings":["Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]},{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081404317","display_name":"Qihang Sun","orcid":"https://orcid.org/0000-0001-7711-9374"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Sun","raw_affiliation_strings":["School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104579108","display_name":"Nailong Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nailong Hou","raw_affiliation_strings":["School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126701817","display_name":"Qi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhou","raw_affiliation_strings":["School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126724594","display_name":"Jie Ping","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Ping","raw_affiliation_strings":["Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126689707","display_name":"Tao Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Ding","raw_affiliation_strings":["Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]},{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101060920","display_name":"Cunjie Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunjie Sun","raw_affiliation_strings":["Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]},{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126732825","display_name":"Chunfeng Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfeng Hu","raw_affiliation_strings":["Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]},{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103936326","display_name":"Lu Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Tang","raw_affiliation_strings":["School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China","institution_ids":["https://openalex.org/I177388780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046750897","display_name":"Yankai Meng","orcid":"https://orcid.org/0000-0002-9671-538X"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yankai Meng","raw_affiliation_strings":["Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China. mengyankai@126.com","School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China. mengyankai@126.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China. mengyankai@126.com","institution_ids":["https://openalex.org/I177388780"]},{"raw_affiliation_string":"School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China. mengyankai@126.com","institution_ids":["https://openalex.org/I177388780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177388780"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15133393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.009800000116229057,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10285","display_name":"Venous Thromboembolism Diagnosis and Management","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/2724","display_name":"Internal Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7620999813079834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5990999937057495},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5579000115394592},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5354999899864197},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4869999885559082},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4765999913215637},{"id":"https://openalex.org/keywords/pulmonary-embolism","display_name":"Pulmonary embolism","score":0.46970000863075256},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4083000123500824}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8205000162124634},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7620999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175999879837036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5990999937057495},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5579000115394592},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4869999885559082},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C2776265017","wikidata":"https://www.wikidata.org/wiki/Q220570","display_name":"Pulmonary embolism","level":2,"score":0.46970000863075256},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4083000123500824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3977000117301941},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.39399999380111694},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.2606000006198883}],"mesh":[{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011655","descriptor_name":"Pulmonary Embolism","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015900","descriptor_name":"Radiography, Dual-Energy Scanned Projection","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-026-02221-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-026-02221-6","pdf_url":null,"source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:41735881","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41735881","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:aa156b3f6ed146f38234ef24fa65b33a","is_oa":false,"landing_page_url":"https://doaj.org/article/aa156b3f6ed146f38234ef24fa65b33a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 26, Iss 1 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13041403","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13041403/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12880-026-02221-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-026-02221-6","pdf_url":null,"source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.812567949295044,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2013710547","https://openalex.org/W2038324472","https://openalex.org/W2041871333","https://openalex.org/W2065716674","https://openalex.org/W2115055475","https://openalex.org/W2142562207","https://openalex.org/W2344977044","https://openalex.org/W2531606802","https://openalex.org/W2587161922","https://openalex.org/W2619373668","https://openalex.org/W2884436604","https://openalex.org/W2891287213","https://openalex.org/W2969640942","https://openalex.org/W2971121646","https://openalex.org/W2991049471","https://openalex.org/W3006180446","https://openalex.org/W3006620460","https://openalex.org/W3047313582","https://openalex.org/W3109626385","https://openalex.org/W3119454574","https://openalex.org/W3187270886","https://openalex.org/W3199031255","https://openalex.org/W4220777473","https://openalex.org/W4281384031","https://openalex.org/W4308507000","https://openalex.org/W4308791829","https://openalex.org/W4385616399","https://openalex.org/W4389486646","https://openalex.org/W4392600582","https://openalex.org/W4394596954","https://openalex.org/W4396554104","https://openalex.org/W4400578214","https://openalex.org/W4402600833","https://openalex.org/W4402825298","https://openalex.org/W4404345123","https://openalex.org/W4406959600"],"related_works":[],"abstract_inverted_index":{"RATIONALE":[0],"AND":[1],"OBJECTIVES:":[2],"To":[3],"evaluate":[4],"the":[5,21,143,148,178,210,261,277],"segmentation":[6,24,128,150,204,281],"performance":[7,25,129,231,266,282],"of":[8,155,160,165,171,187,216,246,270],"dual-energy":[9,34,103],"computed":[10,35],"tomography":[11,36],"(CT)":[12],"reconstructed":[13,74,104],"images":[14,57,86,146,181],"for":[15],"pulmonary":[16,37],"embolism":[17],"(PE)":[18],"and":[19,26,49,66,75,91,118,124,135,169,197,223,242,249,255,264,301,305],"investigate":[20],"relationship":[22],"between":[23],"image":[27,295],"quality.":[28],"METHODS:":[29],"A":[30],"retrospective":[31],"study":[32],"analyzed":[33,131],"angiography":[38],"(CTPA)":[39],"data":[40],"from":[41],"57":[42],"patients,":[43],"divided":[44],"into":[45,89],"two":[46],"datasets":[47,269],"(Dataset1":[48],"Dataset2)":[50],"based":[51],"on":[52,220,227],"case":[53],"complexity.":[54],"Virtual":[55],"monoenergetic":[56],"(VMIs)":[58],"at":[59],"40":[60],"keV,":[61,63,65,68],"60":[62,179,253],"80":[64,144,256],"100":[67],"along":[69],"with":[70,127,152,184,213,235,239,273,286,293],"iodine":[71],"map,":[72],"were":[73,87,98,106,130],"manually":[76],"segmented":[77],"by":[78],"radiologists":[79],"to":[80,100],"delineate":[81],"PE.":[82],"After":[83],"augmentation,":[84],"18,490":[85],"split":[88],"training":[90],"test":[92],"sets.":[93],"Five":[94],"deep":[95],"learning":[96],"models":[97],"applied":[99],"segment":[101],"different":[102],"images,":[105],"evaluated":[107],"using":[108,132],"Dice":[109],"Similarity":[110],"Coefficient":[111],"(DSC),":[112],"Intersection":[113],"over":[114],"Union":[115],"(IoU),":[116],"Recall,":[117],"Precision.":[119],"Image":[120],"quality":[121,296],"was":[122,232,283,303],"evaluated,":[123],"its":[125,291],"correlations":[126],"Pearson,":[133,240],"Spearman,":[134,241],"Kendall":[136,243],"correlation":[137,244,292],"coefficients.":[138],"RESULTS:":[139],"In":[140,175],"Dataset":[141,176,221,228],"1,":[142],"keV":[145,180,254,257],"achieved":[147,209],"best":[149],"performance,":[151,212],"a":[153,214],"DSC":[154,215],"0.565":[156],"\u00b1":[157,162,167,173,189,192,195,199,218,225],"0.032,":[158],"recall":[159],"0.596":[161],"0.060,":[163],"IoU":[164],"0.439":[166],"0.035,":[168,193],"precision":[170],"0.634":[172],"0.059.":[174],"2,":[177],"performed":[182],"best,":[183],"corresponding":[185],"values":[186],"0.656":[188],"0.031,":[190],"0.663":[191],"0.533":[194],"0.034,":[196],"0.719":[198],"0.034.":[200],"Among":[201],"all":[202],"five":[203],"models,":[205],"Attention":[206,274],"UNet":[207,275],"consistently":[208,259],"highest":[211],"0.545":[217],"0.046":[219],"1":[222],"0.649":[224],"0.045":[226],"2.":[229],"Segmentation":[230],"strongly":[233,284],"correlated":[234,285],"subjective":[236,287],"opinion":[237,288],"score,":[238,289],"coefficients":[245],"0.983,":[247],"0.800,":[248],"0.667.":[250],"CONCLUSION:":[251],"The":[252],"VMIs":[258],"demonstrated":[260],"most":[262],"favorable":[263],"stable":[265],"trends":[267],"across":[268],"varying":[271],"complexities,":[272],"outperforming":[276],"other":[278],"models.":[279],"Furthermore,":[280],"whereas":[290],"objective":[294],"metrics":[297],"such":[298],"as":[299],"SNR":[300],"CNR":[302],"weak":[304],"negative.":[306]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-02-25T00:00:00"}
