{"id":"https://openalex.org/W3135490969","doi":"https://doi.org/10.1142/s0219467821400076","title":"Hybrid Biogeography-Based Optimization and Genetic Algorithm for Feature Selection in Mammographic Breast Density Classification","display_name":"Hybrid Biogeography-Based Optimization and Genetic Algorithm for Feature Selection in Mammographic Breast Density Classification","publication_year":2021,"publication_date":"2021-02-24","ids":{"openalex":"https://openalex.org/W3135490969","doi":"https://doi.org/10.1142/s0219467821400076","mag":"3135490969"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467821400076","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821400076","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5040718269","display_name":"Rahul Hans","orcid":"https://orcid.org/0000-0001-8088-5977"},"institutions":[{"id":"https://openalex.org/I1341847395","display_name":"DAV University","ror":"https://ror.org/04aenjr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I1341847395"]},{"id":"https://openalex.org/I165682329","display_name":"Guru Nanak Dev University","ror":"https://ror.org/05ghzpa93","country_code":"IN","type":"education","lineage":["https://openalex.org/I165682329"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Hans","raw_affiliation_strings":["Department of Computer Science and Engineering, DAV University, Jalandhar, Punjab, India","Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, DAV University, Jalandhar, Punjab, India","institution_ids":["https://openalex.org/I1341847395"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India","institution_ids":["https://openalex.org/I165682329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101563601","display_name":"Harjot Kaur","orcid":"https://orcid.org/0000-0001-5657-9750"},"institutions":[{"id":"https://openalex.org/I165682329","display_name":"Guru Nanak Dev University","ror":"https://ror.org/05ghzpa93","country_code":"IN","type":"education","lineage":["https://openalex.org/I165682329"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harjot Kaur","raw_affiliation_strings":["Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Guru Nanak Dev University, Regional Campus, Gurdaspur, Punjab, India","institution_ids":["https://openalex.org/I165682329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6824,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74264912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"03","first_page":null,"last_page":null},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9369999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5964595079421997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5957819223403931},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5616518259048462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5363693237304688},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5299466848373413},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5288870334625244},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5233860611915588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5227487087249756},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4879152476787567},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4518173038959503},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.440830796957016},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4137207269668579},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.40042534470558167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33196982741355896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30375298857688904},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.19327077269554138},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08625876903533936}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5964595079421997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957819223403931},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5616518259048462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5363693237304688},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5299466848373413},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5288870334625244},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5233860611915588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5227487087249756},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4879152476787567},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4518173038959503},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.440830796957016},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4137207269668579},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.40042534470558167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33196982741355896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30375298857688904},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.19327077269554138},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08625876903533936},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467821400076","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821400076","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W36323238","https://openalex.org/W1444952417","https://openalex.org/W1562823746","https://openalex.org/W1583095921","https://openalex.org/W1601024910","https://openalex.org/W1968503008","https://openalex.org/W1982356933","https://openalex.org/W1985258161","https://openalex.org/W1996199765","https://openalex.org/W2001979953","https://openalex.org/W2013885787","https://openalex.org/W2020634673","https://openalex.org/W2031183907","https://openalex.org/W2033731173","https://openalex.org/W2039608578","https://openalex.org/W2043325537","https://openalex.org/W2044309407","https://openalex.org/W2044465660","https://openalex.org/W2046073053","https://openalex.org/W2060436244","https://openalex.org/W2061438946","https://openalex.org/W2068601787","https://openalex.org/W2076748039","https://openalex.org/W2085500514","https://openalex.org/W2096166399","https://openalex.org/W2097571405","https://openalex.org/W2102052485","https://openalex.org/W2102357066","https://openalex.org/W2107167693","https://openalex.org/W2110576630","https://openalex.org/W2117395697","https://openalex.org/W2125301736","https://openalex.org/W2131062842","https://openalex.org/W2133396775","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2156230785","https://openalex.org/W2165301864","https://openalex.org/W2167000802","https://openalex.org/W2167003500","https://openalex.org/W2167101736","https://openalex.org/W2168081761","https://openalex.org/W2213289911","https://openalex.org/W2232317135","https://openalex.org/W2293951576","https://openalex.org/W2315609097","https://openalex.org/W2406762112","https://openalex.org/W2461302873","https://openalex.org/W2462788695","https://openalex.org/W2564781577","https://openalex.org/W2606048008","https://openalex.org/W2612473079","https://openalex.org/W2724365251","https://openalex.org/W2738900493","https://openalex.org/W2739135567","https://openalex.org/W2752931993","https://openalex.org/W2763523016","https://openalex.org/W2767532402","https://openalex.org/W2781560769","https://openalex.org/W2784834174","https://openalex.org/W2793851108","https://openalex.org/W2964358470","https://openalex.org/W3020118020","https://openalex.org/W3021960567","https://openalex.org/W3023540311","https://openalex.org/W3023596779","https://openalex.org/W4234872946"],"related_works":["https://openalex.org/W3210877509","https://openalex.org/W4225360065","https://openalex.org/W4212852473","https://openalex.org/W4307883119","https://openalex.org/W3174196512","https://openalex.org/W4293770416","https://openalex.org/W2345184372","https://openalex.org/W2374344280","https://openalex.org/W3200179079","https://openalex.org/W2159220931"],"abstract_inverted_index":{"It":[0],"can":[1],"be":[2],"acknowledged":[3],"from":[4,92,120,162],"the":[5,8,19,25,46,50,52,60,93,100,107,150,163,175,178,188],"literature":[6],"that":[7],"high":[9],"density":[10],"of":[11,21,49,71,87,113,128,131,141,160,166,177,187],"breast":[12,22],"tissue":[13],"is":[14],"a":[15,139],"root":[16],"cause":[17],"for":[18,57,77],"escalation":[20],"cancer":[23],"among":[24,34],"women,":[26],"imparting":[27],"its":[28],"prime":[29],"role":[30],"in":[31,37,59,80],"Cancer":[32],"Death":[33],"women.":[35],"Moreover,":[36],"this":[38],"era":[39],"where":[40],"computer-aided":[41],"diagnosis":[42],"systems":[43],"have":[44],"become":[45],"right":[47],"hand":[48],"radiologists,":[51],"researchers":[53],"still":[54],"find":[55],"room":[56],"improvement":[58],"feature":[61,78],"selection":[62,79],"techniques.":[63],"This":[64],"research":[65],"aspires":[66],"to":[67,84,98,105,137,146,155,169],"propose":[68],"hybrid":[69],"versions":[70],"Biogeography-Based":[72],"Optimization":[73],"and":[74,89,125],"Genetic":[75],"Algorithm":[76],"Breast":[81],"Density":[82],"Classification,":[83],"get":[85],"rid":[86],"redundant":[88],"irrelevant":[90],"features":[91,144,161,167],"dataset;":[94],"along":[95],"with":[96,110,185],"it":[97],"achieve":[99],"superior":[101],"classification":[102],"accuracy":[103,109],"or":[104],"uphold":[106],"same":[108],"lesser":[111],"number":[112],"features.":[114],"For":[115],"experimentation,":[116],"322":[117],"mammogram":[118],"images":[119],"mini-MIAS":[121],"database":[122],"are":[123,135,153],"chosen,":[124],"then":[126],"Region":[127],"Interests":[129],"(ROI)":[130],"seven":[132],"different":[133],"sizes":[134],"extracted":[136],"extract":[138,156],"set":[140,165],"45":[142],"texture":[143],"corresponding":[145,168],"each":[147,170],"ROI.":[148,171],"Subsequently,":[149],"proposed":[151,179],"algorithms":[152,180,192],"used":[154],"an":[157],"optimal":[158],"subset":[159],"hefty":[164],"The":[172],"results":[173,182],"indicate":[174],"outperformance":[176],"when":[181],"were":[183],"compared":[184],"some":[186],"other":[189],"nature-inspired":[190],"metaheuristic":[191],"using":[193],"various":[194],"parameters.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
