{"id":"https://openalex.org/W2279752654","doi":"https://doi.org/10.1109/jstsp.2015.2505148","title":"Segmentation of Nuclei From 3D Microscopy Images of Tissue via Graphcut Optimization","display_name":"Segmentation of Nuclei From 3D Microscopy Images of Tissue via Graphcut Optimization","publication_year":2015,"publication_date":"2015-12-03","ids":{"openalex":"https://openalex.org/W2279752654","doi":"https://doi.org/10.1109/jstsp.2015.2505148","mag":"2279752654"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2015.2505148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2505148","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-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/A5005148369","display_name":"Kaustav Nandy","orcid":null},"institutions":[{"id":"https://openalex.org/I114662689","display_name":"Leidos (United States)","ror":"https://ror.org/012cvds63","country_code":"US","type":"company","lineage":["https://openalex.org/I114662689"]},{"id":"https://openalex.org/I4210130649","display_name":"Frederick National Laboratory for Cancer Research","ror":"https://ror.org/03v6m3209","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210130649","https://openalex.org/I4210140884"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaustav Nandy","raw_affiliation_strings":["Leidos Biomedical Research, Inc., Optical Microscopy and Analysis Lab at Frederick National Laboratory for Cancer Research, Frederick, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leidos Biomedical Research, Inc., Optical Microscopy and Analysis Lab at Frederick National Laboratory for Cancer Research, Frederick, MD","institution_ids":["https://openalex.org/I114662689","https://openalex.org/I4210130649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652008","display_name":"Amit Kumar","orcid":"https://orcid.org/0000-0002-9260-3938"},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]},{"id":"https://openalex.org/I4210140884","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210140884"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Kumar","raw_affiliation_strings":["National Institutes of Health, Cancer and Developmental Biology Laboratory, National Cancer Institute, Frederick, MD, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institutes of Health, Cancer and Developmental Biology Laboratory, National Cancer Institute, Frederick, MD, United States","institution_ids":["https://openalex.org/I1299303238","https://openalex.org/I4210140884"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013163732","display_name":"Stephen Lockett","orcid":"https://orcid.org/0000-0002-2010-9914"},"institutions":[{"id":"https://openalex.org/I114662689","display_name":"Leidos (United States)","ror":"https://ror.org/012cvds63","country_code":"US","type":"company","lineage":["https://openalex.org/I114662689"]},{"id":"https://openalex.org/I4210130649","display_name":"Frederick National Laboratory for Cancer Research","ror":"https://ror.org/03v6m3209","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210130649","https://openalex.org/I4210140884"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen J. Lockett","raw_affiliation_strings":["Leidos Biomedical Research, Inc., Optical Microscopy and Analysis Lab at Frederick National Laboratory for Cancer Research, Frederick, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leidos Biomedical Research, Inc., Optical Microscopy and Analysis Lab at Frederick National Laboratory for Cancer Research, Frederick, MD","institution_ids":["https://openalex.org/I114662689","https://openalex.org/I4210130649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8967,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88694892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"1","first_page":"140","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.996999979019165,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9925000071525574,"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/segmentation","display_name":"Segmentation","score":0.7959333658218384},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7727651596069336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6565821170806885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6412720680236816},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5771767497062683},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5502687096595764},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4900995194911957},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4892451763153076},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47682398557662964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45095765590667725},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1244790256023407},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10717669129371643}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7959333658218384},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7727651596069336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6565821170806885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412720680236816},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5771767497062683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5502687096595764},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4900995194911957},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4892451763153076},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47682398557662964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45095765590667725},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1244790256023407},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10717669129371643},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2015.2505148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2015.2505148","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W120040546","https://openalex.org/W200367733","https://openalex.org/W1533525406","https://openalex.org/W1594588487","https://openalex.org/W1890779811","https://openalex.org/W1968056609","https://openalex.org/W1973662756","https://openalex.org/W1985711839","https://openalex.org/W1987983010","https://openalex.org/W1988718974","https://openalex.org/W1999478155","https://openalex.org/W2004369799","https://openalex.org/W2005325710","https://openalex.org/W2010308130","https://openalex.org/W2012305901","https://openalex.org/W2018204959","https://openalex.org/W2070118110","https://openalex.org/W2081313007","https://openalex.org/W2088629531","https://openalex.org/W2090440060","https://openalex.org/W2091477263","https://openalex.org/W2106569125","https://openalex.org/W2109407305","https://openalex.org/W2110158442","https://openalex.org/W2112058288","https://openalex.org/W2117740473","https://openalex.org/W2120601853","https://openalex.org/W2121947440","https://openalex.org/W2125173890","https://openalex.org/W2128208761","https://openalex.org/W2135066173","https://openalex.org/W2136861779","https://openalex.org/W2140502500","https://openalex.org/W2142332605","https://openalex.org/W2143146918","https://openalex.org/W2146017443","https://openalex.org/W2148743296","https://openalex.org/W2151053161","https://openalex.org/W2152152724","https://openalex.org/W2159960204","https://openalex.org/W2160041854","https://openalex.org/W2164774194","https://openalex.org/W2167279371","https://openalex.org/W2168555635","https://openalex.org/W2169551590","https://openalex.org/W3217061993","https://openalex.org/W6639632768","https://openalex.org/W6804097870"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W3144569342","https://openalex.org/W2386644571","https://openalex.org/W2368273968","https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W1986655823","https://openalex.org/W4281943322","https://openalex.org/W4313052709"],"abstract_inverted_index":{"Nuclear":[0],"segmentation":[1,34,57,86,159],"in":[2,55,58,73,120,136,185],"3D":[3,74],"microscopic":[4,114],"tissue":[5,38,75],"images":[6,76],"remains":[7],"a":[8,29,66,79,89,117,153,170],"challenge":[9],"due":[10],"to":[11,116,125,166],"tight":[12],"packing":[13],"of":[14,40,96,101,149,172,181,187,202],"the":[15,97,110,113,126,132,142,147,150,157,163,182,193,203],"cells,":[16],"low":[17],"contrast":[18],"and":[19,31,46,130,179],"poor":[20],"depth":[21],"resolution.":[22],"To":[23],"address":[24],"this":[25],"problem,":[26],"we":[27,196],"developed":[28],"robust":[30,80],"accurate":[32],"nuclear":[33],"algorithm":[35,93],"suited":[36],"for":[37,71,94,106],"samples":[39],"higher":[41],"organisms":[42],"such":[43],"as":[44],"mice":[45],"humans.":[47],"The":[48],"study":[49],"was":[50],"inspired":[51],"by":[52,84,88,162],"previous":[53],"works":[54],"graphcut-based":[56,154],"areas":[59],"other":[60],"than":[61],"optical":[62],"microscopy.":[63],"We":[64],"propose":[65],"novel":[67],"seed":[68,104,128],"detection":[69],"method":[70,111,165,184],"nuclei":[72],"that":[77,137],"uses":[78],"model-based":[81],"2D":[82],"slice":[83,85],"followed":[87],"non-maximal":[90],"suppression":[91],"like":[92],"selection":[95],"most":[98],"prospective":[99],"set":[100],"seeds.":[102],"After":[103],"detection,":[105],"each":[107],"target":[108,143],"nucleus":[109,145],"transformed":[112],"volume":[115,119,139,151],"geometric":[118,138],"spherical":[121],"space":[122],"with":[123,192],"respect":[124],"respective":[127],"point":[129],"found":[131],"globally":[133],"optimal":[134],"surface":[135],"which":[140],"separated":[141],"cell":[144],"from":[146,169],"rest":[148],"using":[152],"algorithm.":[155,204],"Comparing":[156],"automatic":[158,194],"maps":[160],"obtained":[161,168],"proposed":[164,183],"those":[167],"number":[171],"state-of-the":[173],"art":[174],"methods":[175],"demonstrate":[176],"superior":[177],"robustness":[178],"accuracy":[180],"terms":[186],"three":[188],"evaluation":[189],"metrics.":[190],"Along":[191],"method,":[195],"also":[197],"present":[198],"an":[199],"interactive":[200],"version":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}