{"id":"https://openalex.org/W2991472783","doi":"https://doi.org/10.11591/ijece.v10i1.pp746-756","title":"Microarray spot partitioning by autonoumsly organising maps thorugh contour model","display_name":"Microarray spot partitioning by autonoumsly organising maps thorugh contour model","publication_year":2020,"publication_date":"2020-01-29","ids":{"openalex":"https://openalex.org/W2991472783","doi":"https://doi.org/10.11591/ijece.v10i1.pp746-756","mag":"2991472783"},"language":"en","primary_location":{"id":"doi:10.11591/ijece.v10i1.pp746-756","doi":"https://doi.org/10.11591/ijece.v10i1.pp746-756","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v10i1.pp746-756","pdf_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/20211/13674","source":{"id":"https://openalex.org/S2764532672","display_name":"International Journal of Electrical and Computer Engineering (IJECE)","issn_l":"2088-8708","issn":["2088-8708"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/20211/13674","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103898854","display_name":"Suchita Karthik","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405277151","display_name":"Dayananda Sagar Academy of Technology and Management","ror":"https://ror.org/01nbw1e11","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405277151"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karthik S. A.","raw_affiliation_strings":["Dayananda Sagar Academy of Technology and Management"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dayananda Sagar Academy of Technology and Management","institution_ids":["https://openalex.org/I4405277151"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054051286","display_name":"S. Manjunath","orcid":"https://orcid.org/0000-0002-7891-0085","observed_orcids":["https://orcid.org/0000-0002-7891-0085"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manjunath S. S.","raw_affiliation_strings":["ATME"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATME","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3576,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51073374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"10","issue":"1","first_page":"746","last_page":"746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.32690000534057617,"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":0.32690000534057617,"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/T10885","display_name":"Gene expression and cancer classification","score":0.3257000148296356,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.08940000087022781,"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/contour-model","display_name":"contour model","score":0.5130000114440918},{"id":"https://openalex.org/keywords/spot-detection","display_name":"spot detection","score":0.4129999876022339},{"id":"https://openalex.org/keywords/foreground-background-classification","display_name":"foreground-background classification","score":0.4729999899864197},{"id":"https://openalex.org/keywords/spot-shape","display_name":"spot shape","score":0.6019999980926514},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.734000027179718},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"curve fitting","score":0.75}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175415754318237},{"id":"https://openalex.org/C2781255879","wikidata":"https://www.wikidata.org/wiki/Q7580087","display_name":"Spots","level":2,"score":0.7057287693023682},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6785470247268677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5953923463821411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5666282176971436},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5512979626655579},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4783608317375183},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4736817181110382},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.472520649433136},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45040377974510193},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28858909010887146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23027530312538147},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.11591/ijece.v10i1.pp746-756","doi":"https://doi.org/10.11591/ijece.v10i1.pp746-756","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v10i1.pp746-756","pdf_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/20211/13674","source":{"id":"https://openalex.org/S2764532672","display_name":"International Journal of Electrical and Computer Engineering (IJECE)","issn_l":"2088-8708","issn":["2088-8708"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:4084267","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/4084267","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE) 10(1) 746-756","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.11591/ijece.v10i1.pp746-756","doi":"https://doi.org/10.11591/ijece.v10i1.pp746-756","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijece.v10i1.pp746-756","pdf_url":"http://ijece.iaescore.com/index.php/IJECE/article/download/20211/13674","source":{"id":"https://openalex.org/S2764532672","display_name":"International Journal of Electrical and Computer Engineering (IJECE)","issn_l":"2088-8708","issn":["2088-8708"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Electrical and Computer Engineering (IJECE)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991472783.pdf","grobid_xml":"https://content.openalex.org/works/W2991472783.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1542334940","https://openalex.org/W1970156673","https://openalex.org/W1978307607","https://openalex.org/W1996747841","https://openalex.org/W2001074584","https://openalex.org/W2004365533","https://openalex.org/W2039397083","https://openalex.org/W2050763737","https://openalex.org/W2061003185","https://openalex.org/W2117607208","https://openalex.org/W2118258530","https://openalex.org/W2129208168","https://openalex.org/W2129480540","https://openalex.org/W2135056195","https://openalex.org/W2138423125","https://openalex.org/W2145688162","https://openalex.org/W2146143888","https://openalex.org/W2149687233","https://openalex.org/W2163646206","https://openalex.org/W2169490976","https://openalex.org/W2206088699","https://openalex.org/W2331920927","https://openalex.org/W2806361923","https://openalex.org/W2911496423","https://openalex.org/W2920991384","https://openalex.org/W2925010556","https://openalex.org/W2933024809","https://openalex.org/W4384297006"],"related_works":["https://openalex.org/W2143814091","https://openalex.org/W113746120","https://openalex.org/W1608018580","https://openalex.org/W3204337561","https://openalex.org/W2806361923","https://openalex.org/W4253790122","https://openalex.org/W2122510554","https://openalex.org/W2126707061","https://openalex.org/W2106262507","https://openalex.org/W2156804057"],"abstract_inverted_index":{"In":[0,20,46],"cDNA":[1],"microarray":[2,21,58,84],"image":[3],"analysis,":[4],"classification":[5],"of":[6,26,33,43,49,57,73,96,111,116,132,154,158,172],"pixels":[7,35],"as":[8],"forefront":[9,24,34],"area":[10,13,25,37,131],"and":[11,41,81,156,161],"the":[12,44,89,94,114,159,167,170,180],"covered":[14,38],"by":[15,39,184],"background":[16],"is":[17,29,119,135,143,164,177],"very":[18],"challenging.":[19],"experimentation,":[22],"identifying":[23],"desired":[27],"spots":[28,149,160],"nothing":[30],"but":[31],"computation":[32],"concentration,":[36],"spot":[40,55,134,139],"shape":[42,155],"spots.":[45],"this":[47,118],"piece":[48],"writing,":[50],"an":[51,122],"innovative":[52],"way":[53],"for":[54],"partitioning":[56],"images":[59],"using":[60,126],"autonomously":[61],"organizing":[62],"maps":[63],"(AOM)":[64],"method":[65],"through":[66],"C-V":[67,127],"model":[68,146],"has":[69,76],"been":[70,77],"proposed.":[71],"Concept":[72],"neural":[74],"networks":[75],"incorpated":[78],"to":[79,82,102,105,166],"train":[80],"test":[83,138],"spots.In":[85],"a":[86],"trained":[87,133],"AOM":[88],"comprehensive":[90],"information":[91],"arising":[92],"from":[93],"prototypes":[95],"created":[97],"neurons":[98],"are":[99],"clearly":[100],"integrated":[101],"decide":[103],"whether":[104],"get":[106,109],"smaller":[107],"or":[108],"bigger":[110],"contour.":[112],"During":[113],"process":[115],"optimization,":[117],"done":[120],"in":[121,152],"iterative":[123],"manner.":[124],"Next":[125],"model,":[128],"inside":[129],"curve":[130,141],"compared":[136],"with":[137,150],"finally":[140],"fitting":[142],"done.The":[144],"presented":[145,175],"can":[147],"handle":[148],"variations":[151],"terms":[153],"quality":[157],"meanwhile":[162],"it":[163],"robust":[165],"noise.":[168],"From":[169],"review":[171],"experimental":[173],"work,":[174],"approach":[176],"accurate":[178],"over":[179],"approaches":[181],"like":[182],"C-means":[183],"fuzzy,":[185],"Morphology":[186],"sectionalization.":[187]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-12-05T00:00:00"}
