{"id":"https://openalex.org/W4211172693","doi":"https://doi.org/10.1142/s0219467823500171","title":"Firefly Competitive Swarm Optimization Based Hierarchical Attention Network for Lung Cancer Detection","display_name":"Firefly Competitive Swarm Optimization Based Hierarchical Attention Network for Lung Cancer Detection","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4211172693","doi":"https://doi.org/10.1142/s0219467823500171"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467823500171","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500171","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/A5030884998","display_name":"B Spoorthi","orcid":null},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B. Spoorthi","raw_affiliation_strings":["Computer Science & Engineering, Atria Institute of Technology/Visvesvaraya Technological University, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Atria Institute of Technology/Visvesvaraya Technological University, Bengaluru, India","institution_ids":["https://openalex.org/I65674248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026451455","display_name":"Shanthi Mahesh","orcid":"https://orcid.org/0000-0002-3332-5739"},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shanthi Mahesh","raw_affiliation_strings":["ISE Department, Atria Institute of Technology/Visvesvaraya Technological University, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"ISE Department, Atria Institute of Technology/Visvesvaraya Technological University, Bengaluru, India","institution_ids":["https://openalex.org/I65674248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030884998"],"corresponding_institution_ids":["https://openalex.org/I65674248"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58563143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":"02","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":0.9937999844551086,"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":0.9937999844551086,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.987500011920929,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.6872297525405884},{"id":"https://openalex.org/keywords/firefly-algorithm","display_name":"Firefly algorithm","score":0.6384811401367188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5917750597000122},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.5725311636924744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5623910427093506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5591226816177368},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.494735449552536},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.41030994057655334},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.2739526629447937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25501543283462524},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22357332706451416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15116196870803833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1414191722869873},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13551393151283264}],"concepts":[{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.6872297525405884},{"id":"https://openalex.org/C154982244","wikidata":"https://www.wikidata.org/wiki/Q5451844","display_name":"Firefly algorithm","level":3,"score":0.6384811401367188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917750597000122},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.5725311636924744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5623910427093506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5591226816177368},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.494735449552536},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.41030994057655334},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.2739526629447937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25501543283462524},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22357332706451416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15116196870803833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1414191722869873},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13551393151283264}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467823500171","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500171","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":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1995972800","https://openalex.org/W2136177244","https://openalex.org/W2247742123","https://openalex.org/W2329921324","https://openalex.org/W2535300095","https://openalex.org/W2734776202","https://openalex.org/W2804546134","https://openalex.org/W2810965170","https://openalex.org/W2883311907","https://openalex.org/W2897821359","https://openalex.org/W2945759189","https://openalex.org/W2963853763","https://openalex.org/W2982642910","https://openalex.org/W2988970523","https://openalex.org/W2999759831","https://openalex.org/W3010628628","https://openalex.org/W3016911306","https://openalex.org/W3020959930","https://openalex.org/W3026457309","https://openalex.org/W3048499969","https://openalex.org/W3129021519"],"related_works":["https://openalex.org/W4225568567","https://openalex.org/W1496883226","https://openalex.org/W4297337052","https://openalex.org/W2028605949","https://openalex.org/W4286378979","https://openalex.org/W2282665605","https://openalex.org/W3216026256","https://openalex.org/W3129919015","https://openalex.org/W4390742338","https://openalex.org/W2041010645"],"abstract_inverted_index":{"Lung":[0],"cancer":[1,17,40,132],"is":[2,18,31,75,91,101,133,144,155],"a":[3],"severe":[4],"disease,":[5],"which":[6,90,154],"causes":[7],"high":[8,175],"deaths":[9],"in":[10,26,42,59],"the":[11,22,35,39,43,46,79,82,85,94,98],"world.":[12],"Earlier":[13],"discovery":[14],"of":[15,24,48,81,113,130,142,177,180,184],"lung":[16,70,131],"useful":[19],"to":[20],"enhance":[21],"rate":[23],"survival":[25],"patients.":[27],"Computed":[28],"Tomography":[29],"(CT)":[30],"utilized":[32,76],"for":[33,68,77],"determining":[34,78],"tumor":[36,53,60],"and":[37,56,117,126,162,182],"identifying":[38],"level":[41],"body.":[44],"However,":[45],"issues":[47],"CT":[49,73,86],"images":[50],"cause":[51],"less":[52],"visibility":[54],"areas":[55],"unconstructive":[57],"rates":[58],"regions.":[61],"This":[62],"paper":[63],"devises":[64],"an":[65],"optimization-driven":[66],"technique":[67],"classifying":[69],"cancer.":[71],"The":[72,128,140,167],"image":[74,87],"position":[80],"tumor.":[83],"Here,":[84],"undergoes":[88],"segmentation,":[89],"performed":[92,134],"using":[93,135,147],"DeepJoint":[95],"model.":[96],"Furthermore,":[97],"feature":[99],"extraction":[100],"carried":[102,145],"out,":[103],"wherein":[104],"features":[105],"such":[106],"as":[107],"local":[108],"ternary":[109],"pattern-based":[110],"features,":[111,116,119],"Histogram":[112],"Gradients":[114],"(HoG)":[115],"statistical":[118],"like":[120],"variance,":[121],"mean,":[122],"kurtosis,":[123],"energy,":[124],"entropy,":[125],"skewness.":[127],"categorization":[129],"Hierarchical":[136],"Attention":[137],"Network":[138],"(HAN).":[139],"training":[141],"HAN":[143,170],"out":[146],"proposed":[148,168],"Firefly":[149],"Competitive":[150,163],"Swarm":[151,164],"Optimization":[152,165],"(FCSO),":[153],"devised":[156],"by":[157],"combining":[158],"firefly":[159],"algorithm":[160],"(FA),":[161],"(CSO).":[166],"FCSO-based":[169],"provided":[171],"effective":[172],"performance":[173],"with":[174],"accuracy":[176],"91.3%,":[178],"sensitivity":[179],"88%,":[181],"specificity":[183],"89.1%.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}