{"id":"https://openalex.org/W4408353651","doi":"https://doi.org/10.1109/icassp49660.2025.10888155","title":"NucleiFormer: A Nuclei Segmentation Model Optimized by Joint Haar Wavelet and Adaptive Feature Calibration","display_name":"NucleiFormer: A Nuclei Segmentation Model Optimized by Joint Haar Wavelet and Adaptive Feature Calibration","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353651","doi":"https://doi.org/10.1109/icassp49660.2025.10888155"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888155","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":"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/A5101691825","display_name":"Yulin Chen","orcid":"https://orcid.org/0000-0003-2285-3867"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Chen","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079178505","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0001-5625-0402"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Huang","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453843","display_name":"Zhijian Wang","orcid":"https://orcid.org/0000-0003-2226-9708"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Wang","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011287422","display_name":"Ziyang Yin","orcid":"https://orcid.org/0009-0000-8183-2199"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Yin","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106698563","display_name":"Meng Geng","orcid":"https://orcid.org/0009-0003-6806-4553"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Geng","raw_affiliation_strings":["Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University,Key Laboratory of Water Big Data Technology of Ministry of Water Resources,Nanjing,China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.39169999957084656,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.39169999957084656,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6917353272438049},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6819212436676025},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6571137309074402},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6410715579986572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6352403163909912},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6139316558837891},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5849152207374573},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.5814439654350281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5666635632514954},{"id":"https://openalex.org/keywords/haar","display_name":"Haar","score":0.5502042770385742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49075016379356384},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4182831048965454},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.3317055106163025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20980024337768555},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08950051665306091},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0636734664440155}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6917353272438049},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6819212436676025},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6571137309074402},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6410715579986572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6352403163909912},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6139316558837891},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5849152207374573},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.5814439654350281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5666635632514954},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.5502042770385742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49075016379356384},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4182831048965454},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.3317055106163025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20980024337768555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08950051665306091},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0636734664440155},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888155","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2101946599","https://openalex.org/W2103243046","https://openalex.org/W2592905743","https://openalex.org/W2884436604","https://openalex.org/W2885343725","https://openalex.org/W2895340641","https://openalex.org/W2963727650","https://openalex.org/W2974825848","https://openalex.org/W4309022712","https://openalex.org/W4321232185","https://openalex.org/W4384207671","https://openalex.org/W4389349065","https://openalex.org/W4389560670","https://openalex.org/W4392023211","https://openalex.org/W6750469568","https://openalex.org/W6790275670","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W4361795924","https://openalex.org/W984746159","https://openalex.org/W2766849256","https://openalex.org/W1523827626","https://openalex.org/W1999916501","https://openalex.org/W2377605153","https://openalex.org/W1982665099","https://openalex.org/W2100447037","https://openalex.org/W2366623948","https://openalex.org/W1749665274"],"abstract_inverted_index":{"Nucleus":[0],"segmentation":[1,12,89],"plays":[2],"a":[3],"vital":[4],"role":[5],"in":[6,46,91],"medical":[7],"image":[8,23],"analysis.":[9],"However,":[10],"existing":[11],"methods":[13],"frequently":[14],"encounter":[15],"hurdles,":[16],"such":[17],"as":[18],"the":[19,47,77,81],"loss":[20],"of":[21,67,80],"crucial":[22],"details":[24],"during":[25],"downsampling":[26,52],"and":[27,31,64,75,96],"issues":[28],"like":[29],"noise":[30],"spatial":[32,78],"displacement.":[33],"In":[34],"this":[35],"study,":[36],"we":[37,55],"propose":[38],"NucleiFormer,":[39],"where":[40],"Haar":[41],"wavelet":[42],"transforms":[43],"are":[44],"employed":[45],"encoder":[48],"to":[49,62],"replace":[50],"conventional":[51],"techniques.":[53],"Additionally,":[54],"utilize":[56],"an":[57],"adaptive":[58],"feature":[59,71],"calibration":[60],"module":[61],"align":[63],"calibrate":[65],"features":[66],"different":[68],"scales,":[69],"reduce":[70],"redundancy,":[72],"suppress":[73],"noise,":[74],"enhance":[76],"awareness":[79],"model.":[82],"Extensive":[83],"experiments":[84],"validate":[85],"our":[86],"model\u2019s":[87],"superior":[88],"performance":[90],"accurately":[92],"delineating":[93],"nucleus":[94],"boundaries":[95],"minimizing":[97],"errors.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}