{"id":"https://openalex.org/W1993464979","doi":"https://doi.org/10.1117/12.586074","title":"DNA microarray image processing based on minimum error segmentation and histogram analysis","display_name":"DNA microarray image processing based on minimum error segmentation and histogram analysis","publication_year":2005,"publication_date":"2005-01-17","ids":{"openalex":"https://openalex.org/W1993464979","doi":"https://doi.org/10.1117/12.586074","mag":"1993464979"},"language":"en","primary_location":{"id":"doi:10.1117/12.586074","doi":"https://doi.org/10.1117/12.586074","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.586074","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,"listed_in":["cwts-core","norway-1"],"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"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101002901","display_name":"Shuanhu Wu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuanhu Wu","raw_affiliation_strings":["Yantai Univ. (China)","Yantai University,  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yantai Univ. (China)","institution_ids":["https://openalex.org/I18452120"]},{"raw_affiliation_string":"Yantai University,  China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644375","display_name":"Hong Yan","orcid":"https://orcid.org/0000-0001-9661-3095","observed_orcids":["https://orcid.org/0000-0001-9661-3095","https://orcid.org/0000-0001-7031-6455"]},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hong Yan","raw_affiliation_strings":["City Univ. of Hong Kong (Hong Kong China)","City University of Hong Kong, Hong kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City Univ. of Hong Kong (Hong Kong China)","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"City University of Hong Kong, Hong kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0315,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76542939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5667","issue":null,"first_page":"562","last_page":"562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.019500000402331352,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.004600000102072954,"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/spot-segmentation","display_name":"spot segmentation","score":0.7310000061988831},{"id":"https://openalex.org/keywords/minimum-error-thresholding","display_name":"minimum error thresholding","score":0.9850000143051147},{"id":"https://openalex.org/keywords/histogram-analysis","display_name":"histogram analysis","score":0.8109999895095825},{"id":"https://openalex.org/keywords/bayesian-decision-theory","display_name":"Bayesian decision theory","score":0.8259999752044678},{"id":"https://openalex.org/keywords/gaussian-probability-density","display_name":"Gaussian probability density","score":0.6269999742507935}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7175499200820923},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6925368309020996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6880301237106323},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6669625639915466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566305160522461},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6011306047439575},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5536099076271057},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5417304039001465},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5116015076637268},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4703619182109833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4510962665081024},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.41474559903144836},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2681739032268524},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.08700194954872131},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.586074","doi":"https://doi.org/10.1117/12.586074","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.586074","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,"listed_in":["cwts-core","norway-1"],"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"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7096146464","https://openalex.org/W1606773165","https://openalex.org/W1832898132","https://openalex.org/W1531660649","https://openalex.org/W2489437692","https://openalex.org/W2554168230","https://openalex.org/W7099137936","https://openalex.org/W2084557687","https://openalex.org/W33387800","https://openalex.org/W1969765709"],"abstract_inverted_index":{"DNA":[0,14],"microarray":[1,43,77],"are":[2,17],"an":[3,39],"experimental":[4,177],"technology":[5],"which":[6],"consists":[7],"in":[8,70],"arrays":[9],"of":[10,12,27,31,33,53,59,135,159],"thousands":[11,32],"discrete":[13],"sequences":[15],"that":[16,45,130,163],"printed":[18],"on":[19,123,170],"glass":[20],"microscope":[21],"slides":[22],"and":[23,85,95,99,105,109,138,143],"allows":[24],"the":[25,65,71,93,128,131,144,171,183],"monitoring":[26],"expressions":[28],"for":[29,42,76,114],"tens":[30],"genes":[34],"simultaneously.":[35],"Image":[36],"analysis":[37,49],"is":[38,62,121,147,162],"important":[40],"aspect":[41],"experiments":[44],"can":[46],"affect":[47],"subsequent":[48],"such":[50],"as":[51],"identification":[52],"differentially":[54],"expressed":[55],"genes.":[56],"The":[57,118,157],"aim":[58],"this":[60,89],"step":[61],"to":[63],"extract":[64],"gene":[66],"expression":[67],"data":[68],"included":[69],"spots":[72],"image.":[73],"Imge":[74],"processing":[75],"images":[78],"includes":[79],"three":[80],"tasks:":[81],"spot":[82,136,172],"gridding,":[83],"segmentation":[84,94,103,111,120,152],"information":[86,96,116],"extraction.":[87,117],"In":[88],"study,":[90],"we":[91],"address":[92],"extraction":[97],"problems,":[98],"propose":[100],"a":[101,106],"new":[102,107],"method":[104,113,161],"background":[108,139],"foreground":[110],"correction":[112],"accurate":[115],"initial":[119,151],"based":[122],"minimum":[124],"error":[125],"thresholding":[126],"under":[127],"assumption":[129],"probability":[132],"density":[133],"distribution":[134],"image":[137,140],"satisfies":[141],"Gaussian":[142],"final":[145],"results":[146,178],"obtained":[148,181],"through":[149],"refining":[150],"by":[153],"Bayes":[154],"decision":[155],"theory.":[156],"advantage":[158],"our":[160,176],"it":[164],"does":[165],"not":[166],"have":[167],"any":[168],"restrictions":[169],"shape.":[173],"We":[174],"compare":[175],"with":[179],"those":[180],"from":[182],"widely":[184],"used":[185],"software":[186],"GenePix.":[187]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2016-06-24T00:00:00"}
