{"id":"https://openalex.org/W4392902888","doi":"https://doi.org/10.1109/icassp48485.2024.10447114","title":"Loop Structure-Aware Learning for Fully Automated Pulmonary Fissure Completeness Assessment","display_name":"Loop Structure-Aware Learning for Fully Automated Pulmonary Fissure Completeness Assessment","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902888","doi":"https://doi.org/10.1109/icassp48485.2024.10447114"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447114","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013039259","display_name":"Linya Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linya Zheng","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403428","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-0343-3499"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032720069","display_name":"Haichao Peng","orcid":"https://orcid.org/0009-0008-2286-4834"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haichao Peng","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074698054","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0002-8326-2924"},"institutions":[{"id":"https://openalex.org/I4210124907","display_name":"Zhongshan Hospital of Xiamen University","ror":"https://ror.org/02z125451","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["Xiamen University,Zhongshan Hospital,Department of Radiology,Xiamen,China,361004"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Zhongshan Hospital,Department of Radiology,Xiamen,China,361004","institution_ids":["https://openalex.org/I4210124907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082244615","display_name":"Yinran Chen","orcid":"https://orcid.org/0000-0001-8062-1859"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinran Chen","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426934","display_name":"Xi\u00f3ngbi\u0101o Lu\u00f3","orcid":"https://orcid.org/0000-0002-5238-489X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongbiao Luo","raw_affiliation_strings":["Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005","National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Department of Computer Science and Technology,Xiamen,China,361005","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013039259"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06088681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4200","last_page":"4204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9649999737739563,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fissure","display_name":"Fissure","score":0.8722320795059204},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.679126501083374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5483206510543823},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.5453091263771057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5229659676551819},{"id":"https://openalex.org/keywords/pulmonary-disease","display_name":"Pulmonary disease","score":0.49921369552612305},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42075997591018677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3483223021030426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3475775718688965},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22143566608428955},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20952463150024414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19248893857002258}],"concepts":[{"id":"https://openalex.org/C2780749890","wikidata":"https://www.wikidata.org/wiki/Q108822283","display_name":"Fissure","level":2,"score":0.8722320795059204},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.679126501083374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5483206510543823},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.5453091263771057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5229659676551819},{"id":"https://openalex.org/C2992779976","wikidata":"https://www.wikidata.org/wiki/Q3286546","display_name":"Pulmonary disease","level":2,"score":0.49921369552612305},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42075997591018677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3483223021030426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3475775718688965},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22143566608428955},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20952463150024414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19248893857002258},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447114","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1992125702","https://openalex.org/W2063273448","https://openalex.org/W2154741421","https://openalex.org/W2227775770","https://openalex.org/W2336031493","https://openalex.org/W2464708700","https://openalex.org/W2798122215","https://openalex.org/W3007746927","https://openalex.org/W3024162568","https://openalex.org/W3027691204","https://openalex.org/W3098046820","https://openalex.org/W4212875960","https://openalex.org/W4220761888","https://openalex.org/W4220817505","https://openalex.org/W4287643567","https://openalex.org/W4288074822","https://openalex.org/W4362663784","https://openalex.org/W4382196576"],"related_works":["https://openalex.org/W4237277701","https://openalex.org/W2775869985","https://openalex.org/W2121424666","https://openalex.org/W1587028174","https://openalex.org/W4301250310","https://openalex.org/W2030928163","https://openalex.org/W2441869800","https://openalex.org/W2067700950","https://openalex.org/W1669998927","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Pulmonary":[0],"fissures":[1,19,97,106,138],"are":[2],"anatomical":[3],"biomarkers":[4],"used":[5],"to":[6,78,93],"evaluate":[7],"the":[8,18,38,65,83,86,95,99,127,148],"severity":[9],"of":[10,17,40,51,85],"chronic":[11,159],"obstructive":[12,160],"pulmonary":[13,43,80,161],"disease.":[14,25],"The":[15],"completeness":[16,34,115,150,155],"is":[20],"significantly":[21],"associated":[22],"with":[23,126,163],"this":[24],"This":[26,48],"work":[27],"proposes":[28],"a":[29,112,164],"new":[30,113],"fully":[31],"automated":[32],"fissure":[33,44,61,73,114,149,154],"assessment":[35,116,166],"framework":[36,49,121],"on":[37,82,103,122],"basis":[39,84],"deeply":[41],"learned":[42],"and":[45,60,89,107,139],"lobe":[46],"segmentation.":[47],"consists":[50],"automatic":[52],"loop":[53,66,133],"structure-aware":[54],"learning":[55],"for":[56,72,147],"joint":[57],"fissure-lobe":[58],"segmentation":[59,67,134],"integrity":[62],"calculation.":[63,151],"Specifically,":[64],"performs":[68],"(1)":[69],"attention-gated":[70,91],"U-transformers":[71,92],"segmentation,":[74],"(2)":[75],"3-D":[76],"U-Net":[77],"extract":[79,137],"lobes":[81],"segmented":[87,96,105],"fissures,":[88],"(3)":[90],"refine":[94],"using":[98],"extracted":[100],"lobes.":[101],"Based":[102],"accurately":[104,143],"interlobar":[108],"boundaries,":[109],"we":[110],"develop":[111],"method.":[117],"We":[118],"evaluated":[119],"our":[120,132,153],"54":[123],"CT":[124],"volumes,":[125],"experimental":[128],"results":[129],"showing":[130],"that":[131],"methods":[135,146],"can":[136],"lobar":[140],"boundaries":[141],"more":[142],"than":[144],"state-of-the-art":[145],"Particularly,":[152],"computing":[156],"method":[157],"provides":[158],"disease":[162],"promising":[165],"way.":[167]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
