{"id":"https://openalex.org/W4408352431","doi":"https://doi.org/10.1109/icassp49660.2025.10889719","title":"Distribution Alignment Informed Thresholding for Semi-Supervised Curvilinear Structure Segmentation","display_name":"Distribution Alignment Informed Thresholding for Semi-Supervised Curvilinear Structure Segmentation","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352431","doi":"https://doi.org/10.1109/icassp49660.2025.10889719"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5009580688","display_name":"Yuhao Mo","orcid":"https://orcid.org/0000-0003-4305-7982"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhao Mo","raw_affiliation_strings":["China Telecom Sichuan Branch,China"],"affiliations":[{"raw_affiliation_string":"China Telecom Sichuan Branch,China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026744328","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0002-8539-180X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["Southwest Jiaotong University,China"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024709593","display_name":"Bihan Wen","orcid":"https://orcid.org/0000-0002-6874-6453"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bihan Wen","raw_affiliation_strings":["Nanyang Technological University,Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029757365","display_name":"Xulei Yang","orcid":"https://orcid.org/0000-0002-7002-4564"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xulei Yang","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR,Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR,Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China,China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451919","display_name":"Xun Xu","orcid":"https://orcid.org/0000-0001-6294-8153"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xun Xu","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*STAR,Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*STAR,Singapore","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5009580688"],"corresponding_institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05052506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9259999990463257,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9259999990463257,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9236000180244446,"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/curvilinear-coordinates","display_name":"Curvilinear coordinates","score":0.9125185608863831},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.781678318977356},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6949977278709412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281396746635437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6023617386817932},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4850460886955261},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41548120975494385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3907873034477234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19503024220466614},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08766236901283264},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07391980290412903}],"concepts":[{"id":"https://openalex.org/C98343798","wikidata":"https://www.wikidata.org/wiki/Q1790208","display_name":"Curvilinear coordinates","level":2,"score":0.9125185608863831},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.781678318977356},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6949977278709412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281396746635437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6023617386817932},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4850460886955261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41548120975494385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3907873034477234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19503024220466614},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08766236901283264},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07391980290412903}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1898703532","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2407692387","https://openalex.org/W2734349601","https://openalex.org/W2963881378","https://openalex.org/W2964159205","https://openalex.org/W2987039128","https://openalex.org/W2992308087","https://openalex.org/W3007268491","https://openalex.org/W3035160371","https://openalex.org/W3167251133","https://openalex.org/W3170602832","https://openalex.org/W3171581326","https://openalex.org/W4281253380","https://openalex.org/W4312310512","https://openalex.org/W4312922277","https://openalex.org/W6733814495","https://openalex.org/W6762913911","https://openalex.org/W6765939562","https://openalex.org/W6773005947","https://openalex.org/W6776411772","https://openalex.org/W6802864417","https://openalex.org/W6839041728"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2327601824","https://openalex.org/W4237142086","https://openalex.org/W2161102362"],"abstract_inverted_index":{"Curvilinear":[0],"structure":[1],"segmentation":[2],"using":[3],"deep":[4],"neural":[5],"networks":[6],"is":[7],"often":[8],"limited":[9],"by":[10,83],"the":[11,52,67,81,85],"high":[12],"cost":[13],"of":[14],"annotation.":[15],"Semi-supervised":[16],"learning":[17],"(SSL)":[18],"helps":[19],"mitigate":[20],"this":[21,55,77],"dependency":[22],"on":[23,47,94,112],"extensive":[24],"annotated":[25],"data.":[26,96,131],"State-of-the-art":[27],"SSL":[28,106,122],"approaches":[29],"generate":[30],"pseudo-labels":[31,93],"for":[32,39],"unlabeled":[33,63,95],"data,":[34],"which":[35],"are":[36,65],"then":[37],"used":[38],"further":[40],"model":[41],"training.":[42],"These":[43],"methods":[44],"primarily":[45],"focus":[46],"calibrating":[48],"thresholds":[49],"to":[50],"binarize":[51],"predictions.":[53],"In":[54],"work,":[56],"we":[57,79],"assume":[58],"that":[59,116],"when":[60],"labeled":[61,89,130],"and":[62,92],"data":[64],"similar,":[66],"foreground-to-background":[68],"ratio":[69],"should":[70],"be":[71,102],"consistent":[72],"between":[73,88],"them.":[74],"To":[75],"leverage":[76],"assumption,":[78],"calibrate":[80],"threshold":[82,99],"minimizing":[84],"distribution":[86],"gap":[87],"ground":[90],"truth":[91],"Our":[97],"proposed":[98],"calibration":[100],"can":[101],"integrated":[103],"with":[104,127],"existing":[105],"methods.":[107],"We":[108],"evaluate":[109],"its":[110],"effectiveness":[111],"four":[113],"datasets,":[114],"demonstrating":[115],"our":[117],"method":[118],"outperforms":[119],"current":[120],"state-of-the-art":[121],"techniques,":[123],"especially":[124],"in":[125],"scenarios":[126],"very":[128],"low":[129]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}