{"id":"https://openalex.org/W2592088255","doi":"https://doi.org/10.1117/12.2254220","title":"Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis","display_name":"Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2592088255","doi":"https://doi.org/10.1117/12.2254220","mag":"2592088255","pmid":"https://pubmed.ncbi.nlm.nih.gov/30344361"},"language":"en","primary_location":{"id":"doi:10.1117/12.2254220","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254220","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5103737974","display_name":"Naiyun Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naiyun Zhou","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101565135","display_name":"Xiaxia Yu","orcid":"https://orcid.org/0000-0003-4811-5125"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaxia Yu","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610855","display_name":"Tianhao Zhao","orcid":"https://orcid.org/0000-0002-8859-5891"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianhao Zhao","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049026271","display_name":"Si Wen","orcid":"https://orcid.org/0000-0001-6853-703X"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Si Wen","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704639","display_name":"Fusheng Wang","orcid":"https://orcid.org/0000-0002-9369-9361"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fusheng Wang","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057328085","display_name":"Wei Zhu","orcid":"https://orcid.org/0000-0003-3218-8573"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhu","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037383891","display_name":"Tahsin Kur\u00e7","orcid":"https://orcid.org/0000-0001-9237-4306"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tahsin Kurc","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012935165","display_name":"Allen Tannenbaum","orcid":"https://orcid.org/0000-0002-0567-5256"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Tannenbaum","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072946826","display_name":"Joel Saltz","orcid":"https://orcid.org/0000-0002-3451-2165"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel Saltz","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101986474","display_name":"Yi Gao","orcid":"https://orcid.org/0000-0003-0094-8136"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Gao","raw_affiliation_strings":["Stony Brook Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ. (United States)","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5103737974"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":1.6597,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87672296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10140","issue":null,"first_page":"101400K","last_page":"101400K"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9955999851226807,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9927999973297119,"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/digital-pathology","display_name":"Digital pathology","score":0.8934690356254578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8177696466445923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6306020021438599},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.613523542881012},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5743106007575989},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5613657832145691},{"id":"https://openalex.org/keywords/digital-image-analysis","display_name":"Digital image analysis","score":0.5256953239440918},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.5226085782051086},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5064476728439331},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4667971730232239},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43618786334991455},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.4278799295425415},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4196702539920807},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3883996605873108},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33533596992492676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09002363681793213}],"concepts":[{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.8934690356254578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177696466445923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6306020021438599},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.613523542881012},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5743106007575989},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5613657832145691},{"id":"https://openalex.org/C2909954168","wikidata":"https://www.wikidata.org/wiki/Q860755","display_name":"Digital image analysis","level":2,"score":0.5256953239440918},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.5226085782051086},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5064476728439331},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4667971730232239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43618786334991455},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.4278799295425415},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4196702539920807},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3883996605873108},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33533596992492676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09002363681793213},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2254220","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254220","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},{"id":"pmid:30344361","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30344361","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of SPIE--the International Society for Optical Engineering","raw_type":null},{"id":"pmh:oai:europepmc.org:5140261","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6195367","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W35586085","https://openalex.org/W77022496","https://openalex.org/W190927549","https://openalex.org/W1487628423","https://openalex.org/W1503812425","https://openalex.org/W1516417927","https://openalex.org/W1597336200","https://openalex.org/W1970120446","https://openalex.org/W1977653087","https://openalex.org/W1981760129","https://openalex.org/W2004369799","https://openalex.org/W2013730497","https://openalex.org/W2022686119","https://openalex.org/W2053186076","https://openalex.org/W2067191022","https://openalex.org/W2071254771","https://openalex.org/W2073943895","https://openalex.org/W2080829915","https://openalex.org/W2088620713","https://openalex.org/W2091804476","https://openalex.org/W2103243046","https://openalex.org/W2115664739","https://openalex.org/W2116013899","https://openalex.org/W2129751220","https://openalex.org/W2134993189","https://openalex.org/W2153464267","https://openalex.org/W2167809092","https://openalex.org/W2946046356","https://openalex.org/W3104298728","https://openalex.org/W4239749705","https://openalex.org/W4250589301","https://openalex.org/W4253264407","https://openalex.org/W6603109648","https://openalex.org/W6629171492","https://openalex.org/W6630238899","https://openalex.org/W6635816984","https://openalex.org/W6654125903","https://openalex.org/W6670636070","https://openalex.org/W6677100435","https://openalex.org/W6679530434","https://openalex.org/W6679922739","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2912814480","https://openalex.org/W3152840679","https://openalex.org/W4251451958","https://openalex.org/W4237538675","https://openalex.org/W2401950214","https://openalex.org/W2979662116","https://openalex.org/W2902140604","https://openalex.org/W4293087513","https://openalex.org/W2163878303","https://openalex.org/W2982927821"],"abstract_inverted_index":{"Digital":[0],"histopathology":[1,173],"images":[2],"with":[3,108],"more":[4,10,12,165],"than":[5],"1":[6],"Gigapixel":[7],"are":[8],"drawing":[9],"and":[11,18,45,89,99,152,171],"attention":[13],"in":[14,30,57,127],"clinical,":[15],"biomedical":[16],"research,":[17],"computer":[19],"vision":[20],"fields.":[21],"Among":[22],"the":[23,31,34,40,53,68,79,87,128],"multiple":[24,28],"observable":[25],"features":[26],"spanning":[27],"scales":[29],"pathology":[32,75],"images,":[33,76],"nuclear":[35],"morphology":[36],"is":[37,51,78,140],"one":[38],"of":[39,62,70,81,91,110,130,136],"central":[41],"criteria":[42],"for":[43,145,169],"diagnosis":[44],"grading.":[46],"As":[47],"a":[48,104,113,133,149,164],"result":[49],"it":[50],"also":[52],"mostly":[54],"studied":[55],"target":[56],"image":[58,117,159,174],"computing.":[59],"Large":[60],"amount":[61],"research":[63],"papers":[64],"have":[65,94],"devoted":[66],"to":[67,121],"problem":[69],"extracting":[71],"nuclei":[72],"from":[73],"digital":[74],"which":[77,139],"foundation":[80],"any":[82],"further":[83],"correlation":[84],"study.":[85],"However,":[86],"validation":[88,151],"evaluation":[90,153],"nucleus":[92],"extraction":[93],"yet":[95],"been":[96],"formulated":[97],"rigorously":[98],"systematically.":[100],"Some":[101],"researches":[102],"report":[103],"human":[105],"verified":[106],"segmentation":[107],"thousands":[109],"nuclei,":[111,138],"whereas":[112],"single":[114],"whole":[115],"slide":[116],"may":[118],"contain":[119],"up":[120],"million.":[122],"The":[123],"main":[124],"obstacle":[125],"lies":[126],"difficulty":[129],"obtaining":[131],"such":[132],"large":[134,157],"number":[135],"validated":[137,167],"essentially":[141],"an":[142],"impossible":[143],"task":[144],"pathologist.":[146],"We":[147],"propose":[148],"systematic":[150],"approach":[154],"based":[155],"on":[156],"scale":[158],"synthesis.":[160],"This":[161],"could":[162],"facilitate":[163],"quantitatively":[166],"study":[168],"current":[170],"future":[172],"analysis":[175],"field.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
