{"id":"https://openalex.org/W3203124040","doi":"https://doi.org/10.1007/s40747-021-00547-y","title":"An optimal nuclei segmentation method based on enhanced multi-objective GWO","display_name":"An optimal nuclei segmentation method based on enhanced multi-objective GWO","publication_year":2021,"publication_date":"2021-10-04","ids":{"openalex":"https://openalex.org/W3203124040","doi":"https://doi.org/10.1007/s40747-021-00547-y","mag":"3203124040"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-021-00547-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00547-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00547-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00547-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100669975","display_name":"Ravi Sharma","orcid":"https://orcid.org/0000-0001-8132-7969"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ravi Sharma","raw_affiliation_strings":["Delhi Technological University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Delhi Technological University, Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048517246","display_name":"Kapil Sharma","orcid":"https://orcid.org/0000-0002-4412-7690"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kapil Sharma","raw_affiliation_strings":["Delhi Technological University, Delhi, India"],"affiliations":[{"raw_affiliation_string":"Delhi Technological University, Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100669975"],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.5439,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73024182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"1","first_page":"569","last_page":"582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9979000091552734,"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":0.9979000091552734,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13567","display_name":"AI and Multimedia in Education","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7172757387161255},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6463091373443604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6318749785423279},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6050349473953247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5900432467460632},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5821027159690857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5534859299659729},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.524800181388855},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4448108673095703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44123727083206177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33246809244155884}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7172757387161255},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6463091373443604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6318749785423279},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6050349473953247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5900432467460632},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5821027159690857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5534859299659729},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.524800181388855},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4448108673095703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44123727083206177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33246809244155884},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s40747-021-00547-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00547-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00547-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s40747-021-00547-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-021-00547-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-021-00547-y.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3203124040.pdf","grobid_xml":"https://content.openalex.org/works/W3203124040.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1548953334","https://openalex.org/W1578197944","https://openalex.org/W1887296478","https://openalex.org/W1957430778","https://openalex.org/W1985871111","https://openalex.org/W1990993682","https://openalex.org/W2018633166","https://openalex.org/W2069790524","https://openalex.org/W2103243046","https://openalex.org/W2104448846","https://openalex.org/W2106334424","https://openalex.org/W2110248298","https://openalex.org/W2118246710","https://openalex.org/W2126105956","https://openalex.org/W2133814640","https://openalex.org/W2143381319","https://openalex.org/W2151608510","https://openalex.org/W2151996626","https://openalex.org/W2165171393","https://openalex.org/W2174096823","https://openalex.org/W2216754497","https://openalex.org/W2235425640","https://openalex.org/W2335197832","https://openalex.org/W2335741193","https://openalex.org/W2344654247","https://openalex.org/W2432516117","https://openalex.org/W2504150216","https://openalex.org/W2523566712","https://openalex.org/W2545985378","https://openalex.org/W2597453252","https://openalex.org/W2639323283","https://openalex.org/W2704364523","https://openalex.org/W2746215166","https://openalex.org/W2785382690","https://openalex.org/W2787693233","https://openalex.org/W2787710908","https://openalex.org/W2887996661","https://openalex.org/W2895430722","https://openalex.org/W2895707368","https://openalex.org/W2898883410","https://openalex.org/W2900491650","https://openalex.org/W2901083652","https://openalex.org/W2901830806","https://openalex.org/W2902062643","https://openalex.org/W2906280468","https://openalex.org/W2938201704","https://openalex.org/W2941281702","https://openalex.org/W2998544540","https://openalex.org/W3005538734","https://openalex.org/W3011584370","https://openalex.org/W3013410840","https://openalex.org/W3049012171","https://openalex.org/W3081026300","https://openalex.org/W3088271618","https://openalex.org/W3096671774","https://openalex.org/W3110567903","https://openalex.org/W3120496803","https://openalex.org/W3125950809","https://openalex.org/W3144375885","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Abstract":[0],"In":[1,17],"breast":[2,135],"cancer":[3,136],"image":[4,35],"analysis,":[5],"reliable":[6],"segmentation":[7,24,121],"of":[8,43,79,108,114,123,149,155,173],"the":[9,29,33,52,59,68,76,85,100,115,119,124,142,156,161],"nuclei":[10,23,69,120],"is":[11,26,48,65,127,164],"still":[12],"an":[13],"open-ended":[14],"research":[15],"problem.":[16],"this":[18],"paper,":[19],"a":[20,40],"new":[21],"clustering-based":[22],"method":[25,31,126,144,163],"presented.":[27],"First,":[28],"proposed":[30,77,101,125,143,162],"pre-processes":[32],"histopathology":[34],"through":[36],"SLIC":[37],"method.":[38],"Then,":[39],"novel":[41],"variant":[42,78,102],"multi-objective":[44,80,87,92],"grey":[45,81],"wolf":[46,82],"optimizer":[47],"employed":[49],"to":[50,96],"group":[51],"obtained":[53],"super-pixels":[54],"into":[55],"optimal":[56,60],"clusters.":[57],"Lastly,":[58],"cluster":[61],"with":[62],"minimum":[63],"value":[64,107,148],"segmented":[66],"as":[67],"region.":[70],"The":[71],"experimental":[72],"results":[73,139],"demonstrates":[74],"that":[75,141,160],"algorithm":[83],"surpasses":[84],"existing":[86],"algorithms":[88],"over":[89,170],"ten":[90],"standard":[91],"benchmark":[93],"functions":[94],"belonging":[95],"different":[97],"categories.":[98],"Particularly,":[99],"has":[103,145],"achieved":[104],"best":[105],"fitness":[106],"more":[109,150],"than":[110,151],"0.90":[111],"on":[112,129,153],"90%":[113],"considered":[116],"functions.":[117],"Further,":[118],"accuracy":[122],"validated":[128],"H&E-stained":[130],"estrogen":[131],"receptor":[132],"positive":[133],"(ER+)":[134],"images.":[137,157],"Experimental":[138],"illustrates":[140,159],"attained":[146],"dice-coefficient":[147],"0.52":[152],"80%":[154],"This":[158],"efficient":[165],"in":[166],"producing":[167],"efficacious":[168],"segmenting":[169],"histology":[171],"images":[172],"Breast":[174],"cancer.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}