{"id":"https://openalex.org/W7124913359","doi":"https://doi.org/10.1109/icicml67980.2025.11333821","title":"Research on PDU-Net Lung Nodule Segmentation Algorithm Based on Path Aggregation and Dual Attention","display_name":"Research on PDU-Net Lung Nodule Segmentation Algorithm Based on Path Aggregation and Dual Attention","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7124913359","doi":"https://doi.org/10.1109/icicml67980.2025.11333821"},"language":"en","primary_location":{"id":"doi:10.1109/icicml67980.2025.11333821","doi":"https://doi.org/10.1109/icicml67980.2025.11333821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicml67980.2025.11333821","pdf_url":null,"source":{"id":"https://openalex.org/S4363608379","display_name":"International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5023841767","display_name":"ChiaHua Chang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChiaHua Chang","raw_affiliation_strings":["Boston University,Metropolitan College,Department of Computer Science,Boston,MA,United States,02215"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University,Metropolitan College,Department of Computer Science,Boston,MA,United States,02215","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123441409","display_name":"Mingxia Fu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingxia Fu","raw_affiliation_strings":["Independent Researcher,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441917","display_name":"Xiang 'Anthony' Chen","orcid":"https://orcid.org/0000-0002-2499-8261","observed_orcids":["https://orcid.org/0000-0002-2499-8261"]},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["Boston University,Department of Computer Science,Boston,MA,United States,02215"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston University,Department of Computer Science,Boston,MA,United States,02215","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111335918","display_name":"Shuwan Feng","orcid":"https://orcid.org/0009-0000-6994-0111","observed_orcids":["https://orcid.org/0009-0000-6994-0111"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuwan Feng","raw_affiliation_strings":["University of Michigan,School of Information,Ann Arbor,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,School of Information,Ann Arbor,United States","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123372133","display_name":"Mingcong Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingcong Zhang","raw_affiliation_strings":["Frontage Laboratories,Exton,Pennsylvania,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Frontage Laboratories,Exton,Pennsylvania,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123394049","display_name":"Xiaofan Zhou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofan Zhou","raw_affiliation_strings":["University of Florida,Department of Computer and Information of Science and Engineering,Gainesville,FL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Computer and Information of Science and Engineering,Gainesville,FL,USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123379070","display_name":"Jyun Jie Chuang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jyun Jie Chuang","raw_affiliation_strings":["Chungcheng Junior High School,Taiwan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chungcheng Junior High School,Taiwan,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123407291","display_name":"Jiangtian Pan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtian Pan","raw_affiliation_strings":["Wuhan University,Department of Automation,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,Department of Automation,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123390108","display_name":"Zenian Liu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zenian Liu","raw_affiliation_strings":["Independent Researcher,Seattle,WA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher,Seattle,WA,USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5009,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87354661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1897","last_page":"1900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8374000191688538,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8374000191688538,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.1436000019311905,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.006800000090152025,"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/pulmonary-nodule-segmentation","display_name":"lung nodule segmentation","score":0.9950000047683716},{"id":"https://openalex.org/keywords/path-aggregation-network","display_name":"path aggregation network","score":0.9700000286102295},{"id":"https://openalex.org/keywords/dual-attention-mechanism","display_name":"dual attention mechanism","score":0.9750000238418579},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.9309999942779541},{"id":"https://openalex.org/keywords/spatial-attention","display_name":"spatial attention","score":0.6179999709129333},{"id":"https://openalex.org/keywords/channel-attention","display_name":"channel attention","score":0.9990000128746033},{"id":"https://openalex.org/keywords/ct-images","display_name":"CT images","score":0.753000020980835},{"id":"https://openalex.org/keywords/lidc-idri","display_name":"LIDC-IDRI","score":0.8489999771118164},{"id":"https://openalex.org/keywords/luna16","display_name":"LUNA16","score":0.996999979019165},{"id":"https://openalex.org/keywords/early-detection-of-lung-cancer","display_name":"early detection of lung cancer","score":0.7839999794960022},{"id":"https://openalex.org/keywords/multi-scale-context-fusion","display_name":"multi-scale context fusion","score":0.699999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753000259399414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6234999895095825},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.619700014591217},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6122000217437744},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6004999876022339},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5317000150680542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.526199996471405},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.476500004529953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44999998807907104},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3700000047683716},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2709999978542328},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2556000053882599}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icicml67980.2025.11333821","doi":"https://doi.org/10.1109/icicml67980.2025.11333821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicml67980.2025.11333821","pdf_url":null,"source":{"id":"https://openalex.org/S4363608379","display_name":"International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8048999905586243,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W4281397108","https://openalex.org/W4401110796","https://openalex.org/W4402715945","https://openalex.org/W4405488463","https://openalex.org/W4408857343","https://openalex.org/W4411143424"],"related_works":["https://openalex.org/W4407461967","https://openalex.org/W4404007164","https://openalex.org/W7119847840","https://openalex.org/W4403016538","https://openalex.org/W4408941334","https://openalex.org/W7171499937","https://openalex.org/W4417479526","https://openalex.org/W7103653251","https://openalex.org/W4416333578","https://openalex.org/W7167036495"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,17,36,54,107,117,152,164,179],"challenges":[3],"of":[4,6,19,135,145,167,182],"complexity":[5],"anatomical":[7],"structure,":[8],"noise":[9],"interference":[10],"and":[11,39,46,61,76,81,96,111,119,131,138,148],"multi-scale":[12,58],"target":[13,63],"processing":[14],"faced":[15],"in":[16,57,103,133,172],"field":[18],"lung":[20,121,168,183],"medical":[21],"image":[22],"segmentation,":[23],"this":[24],"paper":[25],"proposes":[26],"a":[27,67],"novel":[28],"PDU-Net":[29,127],"model.":[30,155],"The":[31],"model":[32],"takes":[33],"U-Net":[34,154],"as":[35],"basic":[37],"architecture":[38],"innovatively":[40],"integrates":[41,88],"path":[42],"aggregation":[43],"network":[44],"(PANet)":[45],"dual":[47],"attention":[48,90,98],"mechanism":[49],"(DAN).":[50],"Specifically,":[51],"PANet":[52],"enhances":[53],"model's":[55,108],"capability":[56],"context":[59],"fusion":[60],"small":[62],"localization":[64],"by":[65],"constructing":[66],"bidirectional":[68],"feature":[69,83],"pyramid":[70],"(i.e.,":[71],"top-down":[72],"semantic":[73,101],"information":[74],"transfer":[75],"bottom-up":[77],"spatial":[78,89],"detail":[79],"supplementation)":[80],"adaptive":[82],"pooling":[84],"techniques,":[85],"while":[86],"DAN":[87],"(for":[91,99],"focusing":[92],"on":[93,116],"critical":[94],"regions)":[95],"channel":[97],"reinforcing":[100],"features)":[102],"parallel,":[104],"thus":[105],"improve":[106],"anti-noise":[109],"performance":[110,158],"structural":[112],"adaptation.":[113],"Experimental":[114],"results":[115],"LIDC-IDRI":[118],"LUNA16":[120],"nodule":[122,169],"CT":[123],"datasets":[124],"show":[125],"that":[126],"achieves":[128],"83.78%,":[129],"99.63%,":[130],"77.34%":[132],"terms":[134],"MIoU,":[136],"accuracy,":[137],"precision,":[139],"respectively,":[140],"which":[141,171],"is":[142],"an":[143],"improvement":[144,159],"7.44%,":[146],"1.14%,":[147],"10.77%":[149],"compared":[150],"to":[151],"original":[153],"This":[156],"significant":[157],"provides":[160,174],"technical":[161,176],"support":[162,177],"for":[163,178],"accurate":[165],"segmentation":[166],"contours,":[170],"turn":[173],"reliable":[175],"early":[180],"diagnosis":[181],"cancer.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-01-21T00:00:00"}
