{"id":"https://openalex.org/W4415428283","doi":"https://doi.org/10.3233/faia251172","title":"IBS-Net: Advancing Implicit Boundary-Aware Segmentation for Diaphragm Ultrasound Analysis","display_name":"IBS-Net: Advancing Implicit Boundary-Aware Segmentation for Diaphragm Ultrasound Analysis","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428283","doi":"https://doi.org/10.3233/faia251172"},"language":null,"primary_location":{"id":"doi:10.3233/faia251172","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251172","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251172","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108945034","display_name":"B. A. Shi","orcid":"https://orcid.org/0009-0008-1211-5805"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baike Shi","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024957457","display_name":"Yikang He","orcid":"https://orcid.org/0000-0002-6347-7098"},"institutions":[{"id":"https://openalex.org/I4210105806","display_name":"Zhongda Hospital Southeast University","ror":"https://ror.org/01k3hq685","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105806"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikang He","raw_affiliation_strings":["Department of Rehabilitation Medicine, Zhongda Hospital, Southeast University, China"],"affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Medicine, Zhongda Hospital, Southeast University, China","institution_ids":["https://openalex.org/I4210105806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053519757","display_name":"Chenlong Miao","orcid":"https://orcid.org/0009-0008-9542-6288"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlong Miao","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089234027","display_name":"Wenbo Huang","orcid":"https://orcid.org/0000-0001-5509-7979"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453575","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-6716-9009"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430615","display_name":"Tianyi Liu","orcid":"https://orcid.org/0009-0009-3747-6487"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083564415","display_name":"Hui Tang","orcid":"https://orcid.org/0000-0001-8448-6623"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109431361","display_name":"Jianmin Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I165225704","display_name":"Xizang Minzu University","ror":"https://ror.org/042170a43","country_code":"CN","type":"education","lineage":["https://openalex.org/I165225704"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Dong","raw_affiliation_strings":["School of Cyber Science and Technology, Xizang Minzu University, Xianyang, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Xizang Minzu University, Xianyang, China","institution_ids":["https://openalex.org/I165225704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064571884","display_name":"Rongjun Ge","orcid":"https://orcid.org/0000-0002-7084-1126"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongjun Ge","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002791829","display_name":"Guangquan Zhou","orcid":"https://orcid.org/0000-0002-6467-3592"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangquan Zhou","raw_affiliation_strings":["School of Biological Science and Medical Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Biological Science and Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350437","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-5660-6349"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5108945034"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68173168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9761000275611877,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9761000275611877,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9199000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6664000153541565},{"id":"https://openalex.org/keywords/jaccard-index","display_name":"Jaccard index","score":0.6628999710083008},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5519000291824341},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5418000221252441},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5302000045776367},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4226999878883362},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.4081999957561493},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.40709999203681946},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4025000035762787}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7419000267982483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7412999868392944},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6664000153541565},{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.6628999710083008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5799999833106995},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5519000291824341},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5418000221252441},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5302000045776367},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.40709999203681946},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4025000035762787},{"id":"https://openalex.org/C164292776","wikidata":"https://www.wikidata.org/wiki/Q5271779","display_name":"Diaphragm (acoustics)","level":3,"score":0.3919000029563904},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.37770000100135803},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3522000014781952},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C20463939","wikidata":"https://www.wikidata.org/wiki/Q811123","display_name":"Diaphragmatic breathing","level":3,"score":0.25360000133514404},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251172","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251172","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251172","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251172","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"automated":[1],"measurement":[2],"of":[3,29,164,184,209,217],"diaphragmatic":[4],"thickness":[5],"in":[6,22,95,166,172,207,214,220],"ultrasound":[7,27,221],"imaging":[8,45],"is":[9,32,205],"a":[10,121],"critical":[11],"challenging":[12],"task":[13,89],"for":[14,116,197],"respiratory":[15],"function":[16],"assessment,":[17],"primarily":[18],"due":[19],"to":[20,91,131,176,180,191],"difficulties":[21],"precise":[23,117],"fascial":[24,135],"identification.":[25],"And":[26],"visualization":[28],"the":[30,182,185,215],"diaphragm":[31],"characterized":[33],"by":[34,44,62],"unique":[35],"challenges,":[36,72],"including":[37],"discontinuous":[38],"and":[39,51,120,170,212],"blurred":[40],"boundary":[41,85,118],"delineations":[42],"caused":[43],"artifacts,":[46],"as":[47,49],"well":[48],"interference":[50],"influence":[52],"from":[53],"adjacent":[54],"muscular":[55],"reverberations.":[56],"These":[57,141],"problems":[58],"are":[59],"further":[60],"compounded":[61],"subjects\u2019":[63],"pose":[64],"variations":[65],"during":[66],"image":[67],"acquisition.":[68],"To":[69],"address":[70],"these":[71],"we":[73,188],"introduce":[74],"IBS-Net,":[75],"an":[76,105],"innovative":[77,103],"triple-branch":[78],"interactive":[79],"segmentation":[80,96],"network":[81],"that":[82,110,126,158,202],"synergistically":[83],"combines":[84],"regression":[86],"with":[87],"auxiliary":[88],"learning":[90],"optimize":[92],"feature":[93,114,129,147,152],"representation":[94],"task.":[97],"Moreover,":[98,179],"Our":[99],"framework":[100],"incorporates":[101],"two":[102],"module:":[104],"Adaptive":[106],"Fusion":[107],"Module":[108,124],"(AFM)":[109],"enables":[111],"multi-scale":[112],"hierarchical":[113],"refinement":[115],"characterization,":[119],"Cross":[122],"Interactive":[123],"(CIM)":[125],"employs":[127],"parallel-encoded":[128],"extraction":[130],"simultaneously":[132],"achieve":[133],"accurate":[134],"localization":[136],"while":[137],"preserving":[138],"structural":[139],"topology.":[140],"complementary":[142],"mechanisms":[143],"effectively":[144],"resolve":[145],"spatial":[146],"inconsistencies,":[148],"facilitating":[149],"robust":[150],"multi-level":[151],"integration.":[153],"Comprehensive":[154],"experimental":[155],"results":[156,200],"demonstrate":[157,201],"IBS-Net":[159],"achieves":[160],"statistically":[161],"significant":[162],"improvements":[163],"8.9%":[165],"Dice":[167],"similarity":[168],"coefficient":[169],"8.05%":[171],"Jaccard":[173],"index":[174],"compared":[175],"conventional":[177],"methods.":[178],"verify":[181],"effectiveness":[183],"proposed":[186],"method,":[187],"extended":[189],"it":[190],"other":[192],"publicly":[193],"available":[194],"BUSI":[195],"dataset":[196],"experimentation.":[198],"The":[199],"our":[203],"method":[204],"competitive":[206],"terms":[208],"both":[210],"accuracy":[211],"completeness":[213],"identification":[216],"fuzzy":[218],"boundaries":[219],"images.":[222]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-24T00:00:00"}