{"id":"https://openalex.org/W3204890289","doi":"https://doi.org/10.1145/3458380.3458434","title":"A Size Adaptive Neural Network for Nucleus Segmentation","display_name":"A Size Adaptive Neural Network for Nucleus Segmentation","publication_year":2021,"publication_date":"2021-02-26","ids":{"openalex":"https://openalex.org/W3204890289","doi":"https://doi.org/10.1145/3458380.3458434","mag":"3204890289"},"language":"en","primary_location":{"id":"doi:10.1145/3458380.3458434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","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/A5101619970","display_name":"Jie Shu","orcid":"https://orcid.org/0000-0002-9879-4587"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shu","raw_affiliation_strings":["North China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032709413","display_name":"Qiyang Gao","orcid":"https://orcid.org/0000-0001-5927-0361"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyang Gao","raw_affiliation_strings":["North China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069629707","display_name":"Yanjie Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjie Guan","raw_affiliation_strings":["North China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China University of Technology, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401730","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0003-3462-4973"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["University of Nottingham Ningbo Campus, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham Ningbo Campus, China","institution_ids":["https://openalex.org/I13591777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13621017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980000257492065,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8124144077301025},{"id":"https://openalex.org/keywords/nucleus","display_name":"Nucleus","score":0.8023345470428467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7066640853881836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6899940967559814},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6472336053848267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6254043579101562},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5731003284454346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33635789155960083},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07604777812957764},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06578439474105835}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8124144077301025},{"id":"https://openalex.org/C2780723820","wikidata":"https://www.wikidata.org/wiki/Q1934178","display_name":"Nucleus","level":2,"score":0.8023345470428467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066640853881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6899940967559814},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6472336053848267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6254043579101562},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5731003284454346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33635789155960083},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07604777812957764},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06578439474105835}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458380.3458434","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458380.3458434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Digital Signal Processing","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":9,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1977556410","https://openalex.org/W2107725143","https://openalex.org/W2160041854","https://openalex.org/W2921185333","https://openalex.org/W2950172776","https://openalex.org/W2963150697","https://openalex.org/W2980998394","https://openalex.org/W3008251376"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2888410021","https://openalex.org/W4321487865","https://openalex.org/W2951690940","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,13,123],"analysis":[1],"of":[2,15,105],"nucleus":[3,17,40,51,63,78,83,120],"shape":[4,14],"is":[5,102,159],"useful":[6],"for":[7],"the":[8,16,19,69,94,103,119,146,151,155],"pathological":[9,21],"diagnosis":[10],"or":[11],"prognosis.":[12],"in":[18,38,50],"digital":[20],"images":[22],"from":[23,118],"different":[24],"sources":[25],"may":[26,44],"vary":[27],"greatly.":[28],"Although,":[29],"Convolutional":[30],"Neural":[31],"Network":[32],"(CNN)":[33],"has":[34],"proven":[35],"its":[36,82],"success":[37],"automatic":[39],"segmentation,":[41],"segmentation":[42,64,84,121,156],"performance":[43,157],"be":[45,100],"reduced":[46],"due":[47],"to":[48,72,80,99,111,161],"varies":[49],"size.":[52],"In":[53,142],"this":[54,109],"paper,":[55],"we":[56],"proposed":[57,124,152],"a":[58],"CNN":[59,70],"based":[60],"size":[61,79,149],"adaptive":[62],"method.":[65],"This":[66],"method":[67,88,110,125,147,153],"adapts":[68],"model":[71],"image":[73],"clusters":[74],"with":[75,129,145],"similar":[76],"estimated":[77],"increase":[81],"performance.":[85],"Furthermore":[86],"our":[87],"can":[89],"automatically":[90],"segment":[91],"nuclei":[92],"and":[93,134,136,140,158],"only":[95],"parameter":[96],"that":[97],"needs":[98],"set":[101],"number":[104],"clusters.":[106],"We":[107],"compared":[108,144],"several":[112],"existing":[113],"methods":[114],"on":[115],"two":[116],"datasets":[117],"challenge.":[122],"achieved":[126],"satisfactory":[127],"results":[128],"mean":[130,137],"Intersection-over-Union":[131],"(IoU)":[132],"0.718":[133],"0.798":[135],"F1-score":[138],"0.780":[139],"0.864.":[141],"addition,":[143],"without":[148],"adaptation,":[150],"improves":[154],"easy":[160],"implement.":[162]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}