{"id":"https://openalex.org/W7220993307","doi":"https://doi.org/10.1038/s41598-026-72934-9","title":"A symmetric dual stream deep learning model with a shared encoder and topological attention gate for crack segmentation","display_name":"A symmetric dual stream deep learning model with a shared encoder and topological attention gate for crack segmentation","publication_year":2026,"publication_date":"2026-10-08","ids":{"openalex":"https://openalex.org/W7220993307","doi":"https://doi.org/10.1038/s41598-026-72934-9"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-026-72934-9","doi":"https://doi.org/10.1038/s41598-026-72934-9","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-72934-9","pdf_url":"https://www.nature.com/articles/s41598-026-72934-9_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-026-72934-9_reference.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080729222","display_name":"Wesley Vieira Santana","orcid":"https://orcid.org/0009-0002-5867-0552","observed_orcids":["https://orcid.org/0009-0002-5867-0552"]},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Wesley Vieira de Santana","raw_affiliation_strings":["University of Pernambuco, Recife, Brazil"],"raw_orcid":"https://orcid.org/0009-0002-5867-0552","affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081214306","display_name":"Verusca Severo","orcid":"https://orcid.org/0000-0002-6724-4814","observed_orcids":["https://orcid.org/0000-0002-6724-4814"]},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Verusca Severo de Lima","raw_affiliation_strings":["University of Pernambuco, Recife, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6724-4814","affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082295021","display_name":"Francisco Madeiro","orcid":"https://orcid.org/0000-0002-6123-0390","observed_orcids":["https://orcid.org/0000-0002-6123-0390"]},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco Madeiro","raw_affiliation_strings":["University of Pernambuco, Recife, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6123-0390","affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I71437568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080729222"],"corresponding_institution_ids":["https://openalex.org/I71437568"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crack-segmentation","display_name":"crack segmentation","score":0.9909999966621399},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.6629999876022339},{"id":"https://openalex.org/keywords/shared-encoder","display_name":"shared encoder","score":0.9729999899864197},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"structural health monitoring","score":0.9850000143051147}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7774999737739563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7512000203132629},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6912999749183655},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5906999707221985},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.578499972820282},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5600000023841858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557200014591217},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5302000045776367},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5033000111579895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3456000089645386},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28870001435279846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2646999955177307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1038/s41598-026-72934-9","doi":"https://doi.org/10.1038/s41598-026-72934-9","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-72934-9","pdf_url":"https://www.nature.com/articles/s41598-026-72934-9_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1038/s41598-026-72934-9","doi":"https://doi.org/10.1038/s41598-026-72934-9","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-72934-9","pdf_url":"https://www.nature.com/articles/s41598-026-72934-9_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324902","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220993307.pdf","grobid_xml":"https://content.openalex.org/works/W7220993307.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1536729381","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W2015159529","https://openalex.org/W2170633497","https://openalex.org/W2412782625","https://openalex.org/W2734349601","https://openalex.org/W2740215900","https://openalex.org/W2748643398","https://openalex.org/W2752782242","https://openalex.org/W2798122215","https://openalex.org/W2798812533","https://openalex.org/W2884585870","https://openalex.org/W2888358068","https://openalex.org/W2912350898","https://openalex.org/W2999607073","https://openalex.org/W3005498204","https://openalex.org/W3013140465","https://openalex.org/W3138516171","https://openalex.org/W3158546727","https://openalex.org/W4205975510","https://openalex.org/W4229008820","https://openalex.org/W4283715843","https://openalex.org/W4386070914","https://openalex.org/W4387336396","https://openalex.org/W4387479606","https://openalex.org/W4387790006","https://openalex.org/W4388914718","https://openalex.org/W4390151633","https://openalex.org/W4392567191","https://openalex.org/W4399988239","https://openalex.org/W4401070841","https://openalex.org/W4401327859","https://openalex.org/W4403667117","https://openalex.org/W4405491260","https://openalex.org/W4407373096","https://openalex.org/W4407889583","https://openalex.org/W4408682312","https://openalex.org/W4409183826","https://openalex.org/W4409917062","https://openalex.org/W4411080835","https://openalex.org/W4412060246","https://openalex.org/W4412958692","https://openalex.org/W4413137600","https://openalex.org/W4414104070","https://openalex.org/W4414404914","https://openalex.org/W4414866970","https://openalex.org/W4416459331","https://openalex.org/W4416730452","https://openalex.org/W4417360183","https://openalex.org/W7116931773","https://openalex.org/W7118011644","https://openalex.org/W7127326179","https://openalex.org/W7160763778"],"related_works":["https://openalex.org/W4200478585","https://openalex.org/W7127594638","https://openalex.org/W7154614791","https://openalex.org/W4413849438","https://openalex.org/W4402332158","https://openalex.org/W7119467955","https://openalex.org/W4414519996","https://openalex.org/W4400922131","https://openalex.org/W4401327859","https://openalex.org/W7164381370"],"abstract_inverted_index":{"Abstract":[0],"Semantic":[1],"crack":[2,17],"segmentation":[3,53,68],"is":[4,37,64,79],"an":[5,104,108],"important":[6],"task":[7],"in":[8,60,133],"the":[9,67,82,99,134],"automated":[10,135],"inspection":[11,136],"of":[12,51,106,110,115,137],"civil":[13,138],"structures,":[14],"but":[15],"preserving":[16],"continuity,":[18],"connectivity,":[19],"and":[20,55,85,90,112,122,140],"structural":[21,62],"consistency":[22],"remains":[23],"challenging":[24],"for":[25,131,141],"conventional":[26],"models.":[27],"In":[28],"this":[29],"work,":[30],"SkelTAG-Net":[31,97,128],"(Skeleton":[32],"Topological":[33,72],"Attention":[34,73],"Gate":[35,74],"Network)":[36],"proposed":[38],"as":[39,120],"a":[40,47,52,56,71,113],"symmetric":[41],"dual-stream":[42],"deep":[43],"learning":[44],"model":[45,78],"with":[46,87],"shared":[48],"encoder,":[49],"composed":[50],"stream":[54],"supervised":[57],"skeleton":[58],"stream,":[59],"which":[61],"information":[63],"injected":[65],"into":[66],"decoder":[69],"through":[70],"(TAG)":[75],"module.":[76],"The":[77,93],"evaluated":[80],"on":[81],"CrackVision12K":[83],"dataset":[84],"compared":[86],"CNN-based,":[88],"Transformer-based,":[89],"hybrid":[91],"architectures.":[92],"results":[94,125],"show":[95],"that":[96,127],"achieves":[98],"best":[100],"overall":[101],"performance,":[102],"obtaining":[103],"IoU":[105],"0.676,":[107],"F1-Score":[109],"0.781,":[111],"clDice":[114],"0.848,":[116],"outperforming":[117],"models":[118],"such":[119],"SegFormer-B2":[121],"U-Net.":[123],"These":[124],"indicate":[126],"has":[129],"potential":[130],"applications":[132],"structures":[139],"supporting":[142],"Structural":[143],"Health":[144],"Monitoring":[145],"(SHM)":[146],"systems.":[147]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-10-09T00:00:00"}