{"id":"https://openalex.org/W2982862532","doi":"https://doi.org/10.1109/access.2019.2952098","title":"Robust Nucleus Detection With Partially Labeled Exemplars","display_name":"Robust Nucleus Detection With Partially Labeled Exemplars","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982862532","doi":"https://doi.org/10.1109/access.2019.2952098","mag":"2982862532"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2952098","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952098","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894044.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894044.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021915783","display_name":"Linqing Feng","orcid":"https://orcid.org/0000-0002-5084-811X"},"institutions":[{"id":"https://openalex.org/I4210101891","display_name":"Korea Institute of Brain Science","ror":"https://ror.org/017stnw60","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210101891"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Linqing Feng","raw_affiliation_strings":["Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5084-811X","affiliations":[{"raw_affiliation_string":"Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","institution_ids":["https://openalex.org/I4210101891","https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057903827","display_name":"Jun Song","orcid":"https://orcid.org/0000-0001-9970-8313"},"institutions":[{"id":"https://openalex.org/I4210101891","display_name":"Korea Institute of Brain Science","ror":"https://ror.org/017stnw60","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210101891"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Ho Song","raw_affiliation_strings":["Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","institution_ids":["https://openalex.org/I4210101891","https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462895","display_name":"Jiwon Kim","orcid":"https://orcid.org/0000-0002-9864-6330"},"institutions":[{"id":"https://openalex.org/I4210101891","display_name":"Korea Institute of Brain Science","ror":"https://ror.org/017stnw60","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210101891"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwon Kim","raw_affiliation_strings":["Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","institution_ids":["https://openalex.org/I4210101891","https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007597056","display_name":"Soomin Jeong","orcid":"https://orcid.org/0000-0002-6989-3412"},"institutions":[{"id":"https://openalex.org/I4210101891","display_name":"Korea Institute of Brain Science","ror":"https://ror.org/017stnw60","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210101891"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soomin Jeong","raw_affiliation_strings":["Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","institution_ids":["https://openalex.org/I4210101891","https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605786","display_name":"Jin\u2010Sung Park","orcid":"https://orcid.org/0000-0001-5506-9206"},"institutions":[{"id":"https://openalex.org/I4210101891","display_name":"Korea Institute of Brain Science","ror":"https://ror.org/017stnw60","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210101891"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Sung Park","raw_affiliation_strings":["Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","institution_ids":["https://openalex.org/I4210101891","https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100411972","display_name":"Jinhyun Kim","orcid":"https://orcid.org/0000-0001-5429-505X"},"institutions":[{"id":"https://openalex.org/I4210101891","display_name":"Korea Institute of Brain Science","ror":"https://ror.org/017stnw60","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210101891"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinhyun Kim","raw_affiliation_strings":["Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Functional Connectomics, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, South Korea","institution_ids":["https://openalex.org/I4210101891","https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021915783"],"corresponding_institution_ids":["https://openalex.org/I4210101891","https://openalex.org/I58716616"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5852,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87104247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"162169","last_page":"162178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9976999759674072,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9951000213623047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9836000204086304,"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/computer-science","display_name":"Computer science","score":0.8409265279769897},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7210637331008911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7158676385879517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6338023543357849},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6002103090286255},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5988726615905762},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4618235230445862},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4399677515029907},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.43358302116394043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3928380608558655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409265279769897},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7210637331008911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7158676385879517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6338023543357849},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6002103090286255},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5988726615905762},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4618235230445862},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4399677515029907},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.43358302116394043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3928380608558655},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2952098","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952098","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894044.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1907.09738","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.09738","pdf_url":"https://arxiv.org/pdf/1907.09738","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:c173d657a6b14f40ade0891bf098bbc0","is_oa":true,"landing_page_url":"https://doaj.org/article/c173d657a6b14f40ade0891bf098bbc0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 162169-162178 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2952098","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952098","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08894044.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3736876943","display_name":null,"funder_award_id":"2E27850","funder_id":"https://openalex.org/F4320322091","funder_display_name":"Korea Institute of Science and Technology"},{"id":"https://openalex.org/G5557662948","display_name":null,"funder_award_id":"NRF-2017M3C7A1043838","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5684836355","display_name":null,"funder_award_id":"2017M3C7A1043838","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322091","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982862532.pdf","grobid_xml":"https://content.openalex.org/works/W2982862532.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1125523343","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W1970303626","https://openalex.org/W1970705660","https://openalex.org/W2003099669","https://openalex.org/W2004369799","https://openalex.org/W2004481819","https://openalex.org/W2048545478","https://openalex.org/W2054821087","https://openalex.org/W2080481652","https://openalex.org/W2103243046","https://openalex.org/W2133059825","https://openalex.org/W2142532592","https://openalex.org/W2151538727","https://openalex.org/W2211016425","https://openalex.org/W2296226447","https://openalex.org/W2407560598","https://openalex.org/W2424374314","https://openalex.org/W2471536144","https://openalex.org/W2533012945","https://openalex.org/W2549139847","https://openalex.org/W2550409828","https://openalex.org/W2557069473","https://openalex.org/W2562612963","https://openalex.org/W2565639579","https://openalex.org/W2592905743","https://openalex.org/W2599765304","https://openalex.org/W2745140072","https://openalex.org/W2804047946","https://openalex.org/W2885343725","https://openalex.org/W2902993698","https://openalex.org/W2911823761","https://openalex.org/W2916798096","https://openalex.org/W2924214462","https://openalex.org/W2950657806","https://openalex.org/W2951124631","https://openalex.org/W2961912654","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W4289729888","https://openalex.org/W4295727797","https://openalex.org/W6751795773","https://openalex.org/W6760224987","https://openalex.org/W6760875284"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"Quantitative":[0],"analysis":[1],"of":[2,14,27,37,136,192,224],"cell":[3],"nuclei":[4,30,66,81,194],"in":[5,31],"microscopic":[6],"images":[7,32],"is":[8,22,242],"an":[9],"essential":[10],"yet":[11,92],"challenging":[12],"source":[13,240],"biological":[15],"and":[16,25,62,113,134,155,164,228,235],"pathological":[17],"information.":[18],"The":[19,239],"major":[20],"challenge":[21],"accurate":[23],"detection":[24,177,200],"segmentation":[26],"densely":[28],"packed":[29],"acquired":[33],"under":[34],"a":[35,90,199,217,232],"variety":[36],"conditions.":[38],"Mask":[39,99],"R-CNN-based":[40],"methods":[41],"have":[42],"achieved":[43],"state-of-the-art":[44],"nucleus":[45],"segmentation.":[46],"However,":[47],"the":[48,71,97,108,124,132,152,161,193],"current":[49,98],"pipeline":[50,101],"requires":[51],"fully":[52,208],"annotated":[53,209],"training":[54,86,206],"images,":[55],"which":[56],"are":[57,237],"time":[58],"consuming":[59],"to":[60,79,102,120,151,203,220],"create":[61,221],"sometimes":[63],"noisy.":[64],"Importantly,":[65],"often":[67],"appear":[68],"similar":[69],"within":[70],"same":[72],"image.":[73],"This":[74],"similarity":[75],"could":[76],"be":[77],"utilized":[78],"segment":[80],"with":[82,183,189,207],"only":[83,190],"partially":[84],"labeled":[85,114],"examples.":[87],"We":[88,179],"propose":[89],"simple":[91],"effective":[93,157],"region-proposal":[94,146],"module":[95,147],"for":[96,160],"R-CNN":[100],"perform":[103],"few-exemplar":[104],"learning.":[105],"To":[106],"capture":[107],"similarities":[109],"between":[110],"unlabeled":[111,140,173],"regions":[112,174],"nuclei,":[115,138],"we":[116,127],"apply":[117],"decomposed":[118],"self-attention":[119,125],"learned":[121],"features.":[122],"On":[123,142],"map,":[126],"observe":[128],"strong":[129],"activation":[130],"at":[131,244],"centers":[133],"edges":[135],"all":[137],"including":[139],"nuclei.":[141],"this":[143],"basis,":[144],"our":[145,181,196,212],"propagates":[148],"partial":[149],"annotations":[150,223,230],"whole":[153],"image":[154],"proposes":[156],"bounding":[158,162],"boxes":[159],"box-regression":[163],"binary":[165],"mask-generation":[166],"modules.":[167],"Our":[168],"method":[169,182,213],"effectively":[170],"learns":[171],"from":[172,205],"thereby":[175],"improving":[176],"performance.":[178],"test":[180],"various":[184],"nuclear":[185],"images.":[186],"When":[187],"trained":[188],"1/4":[191],"annotated,":[195],"approach":[197],"retains":[198],"accuracy":[201,236],"comparable":[202],"that":[204],"data.":[210],"Moreover,":[211],"can":[214],"serve":[215],"as":[216],"bootstrapping":[218],"step":[219],"full":[222],"datasets,":[225],"iteratively":[226],"generating":[227],"correcting":[229],"until":[231],"predetermined":[233],"coverage":[234],"reached.":[238],"code":[241],"available":[243],"https://github.com/feng-lab/nuclei.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
