{"id":"https://openalex.org/W4411328405","doi":"https://doi.org/10.1007/s10791-025-09634-x","title":"Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification","display_name":"Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W4411328405","doi":"https://doi.org/10.1007/s10791-025-09634-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10791-025-09634-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09634-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09634-x.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09634-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003565762","display_name":"Sudha Radhika","orcid":"https://orcid.org/0000-0002-4741-2913"},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]},{"id":"https://openalex.org/I4210117495","display_name":"Dr. Reddy's Laboratories (India)","ror":"https://ror.org/01rkxa860","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210117495"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Radhika","raw_affiliation_strings":["Department of Computer Science and Engineering, Malla Reddy University, Hyderabad, 500100, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Malla Reddy University, Hyderabad, 500100, India","institution_ids":["https://openalex.org/I4210117495","https://openalex.org/I36893310"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004806866","display_name":"G. Sharada","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134386","display_name":"G Pulla Reddy Dental College & Hospital","ror":"https://ror.org/04p93kz40","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210134386"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Sharada","raw_affiliation_strings":["Department of Computer Science and Engineering, Malla Reddy College of Engineering and Technology, Hyderabad, 500100, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Malla Reddy College of Engineering and Technology, Hyderabad, 500100, India","institution_ids":["https://openalex.org/I4210134386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003565762"],"corresponding_institution_ids":["https://openalex.org/I36893310","https://openalex.org/I4210117495"],"apc_list":null,"apc_paid":null,"fwci":3.4624,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92602345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"28","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9958999752998352,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9958999752998352,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.984000027179718,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/parametric-statistics","display_name":"Parametric statistics","score":0.7003979682922363},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.665033757686615},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.6087716817855835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5638679265975952},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5012962818145752},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.46840614080429077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2901766300201416},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25038671493530273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2307497262954712},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.193996399641037},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.09708985686302185},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08475837111473083},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06040951609611511}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7003979682922363},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.665033757686615},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.6087716817855835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5638679265975952},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5012962818145752},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.46840614080429077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2901766300201416},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25038671493530273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2307497262954712},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.193996399641037},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.09708985686302185},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08475837111473083},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06040951609611511}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10791-025-09634-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09634-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09634-x.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7fe691c56aa0484db047e7aad88d5759","is_oa":true,"landing_page_url":"https://doaj.org/article/7fe691c56aa0484db047e7aad88d5759","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Computing, Vol 28, Iss 1, Pp 1-18 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10791-025-09634-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09634-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09634-x.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411328405.pdf","grobid_xml":"https://content.openalex.org/works/W4411328405.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2963198496","https://openalex.org/W2980446414","https://openalex.org/W3019577029","https://openalex.org/W3024586266","https://openalex.org/W3045898247","https://openalex.org/W3091808014","https://openalex.org/W3092994636","https://openalex.org/W3101122608","https://openalex.org/W3111162498","https://openalex.org/W3127021372","https://openalex.org/W3127316317","https://openalex.org/W3136314058","https://openalex.org/W3149067748","https://openalex.org/W3159431087","https://openalex.org/W3162472199","https://openalex.org/W3162972130","https://openalex.org/W3207272454","https://openalex.org/W4237956134","https://openalex.org/W4309713817","https://openalex.org/W4312261998","https://openalex.org/W4312781733","https://openalex.org/W4313462484","https://openalex.org/W4319081409","https://openalex.org/W4360602629","https://openalex.org/W4385497801","https://openalex.org/W4389168118","https://openalex.org/W4389168386","https://openalex.org/W4391948392","https://openalex.org/W4394813175","https://openalex.org/W4402824346","https://openalex.org/W4405877874","https://openalex.org/W4406832942","https://openalex.org/W6601760687","https://openalex.org/W6770759485"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W2064573700","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951"],"abstract_inverted_index":{"With":[0],"the":[1,11,27,79,125,138,203,215,239,247],"advancement":[2],"of":[3,29,146,185,217,220,223,227,233,237],"Artificial":[4],"Intelligence":[5],"in":[6,17,42,235],"medical":[7],"and":[8,45,58,87,105,161,171,191,225,242],"engineering":[9],"fields,":[10],"most":[12],"unique":[13],"solutions":[14],"were":[15],"deployed":[16],"any":[18],"individual\u2019s":[19],"life":[20,24,50],"for":[21],"prolonging":[22],"their":[23],"span":[25],"against":[26,246],"odds":[28],"growing":[30],"disorders.":[31],"One":[32],"such":[33],"disorder":[34],"is":[35,39,199],"Lung":[36,180,189],"Cancer":[37],"which":[38,52,101,131,183,198],"predominantly":[40],"found":[41],"both":[43],"women":[44],"men":[46],"causing":[47],"a":[48,72,97],"disturbed":[49],"cycle":[51],"could":[53],"lead":[54],"to":[55,103,123],"mental":[56],"stress":[57],"even":[59],"fatal":[60],"end":[61],"when":[62],"unnoticed.":[63],"In":[64],"recent":[65],"times,":[66],"computer-aided":[67],"diagnostic":[68,107],"(CAD)":[69],"act":[70],"as":[71],"major":[73],"automating":[74],"diagnosing":[75],"tool":[76],"by":[77],"building":[78],"self-tailored":[80],"learning":[81,94,143,193,205,211],"algorithms":[82],"founded":[83],"on":[84,128],"Classical":[85,155],"Machine":[86],"Deep":[88],"Learning":[89],"model.":[90],"However,":[91],"training":[92],"classical":[93,129],"frameworks":[95],"consumes":[96],"huge":[98],"computational":[99],"resources":[100],"leads":[102],"complexity":[104],"low":[106],"performance.":[108],"To":[109],"overcome":[110],"this":[111],"problem,":[112],"Quantum":[113,162],"Hippo":[114,156],"Optimized":[115,157],"Convolution":[116],"Neural":[117,159],"Network":[118],"(QHO-CNN)":[119],"has":[120,213],"been":[121],"proposed":[122,142],"homogenize":[124],"quantum":[126,167,243,250],"computations":[127],"computers":[130],"can":[132],"effectively":[133],"diagnose":[134],"lung":[135],"cancers":[136],"with":[137,202],"high-speed":[139],"computations.":[140],"The":[141,173],"framework":[144,212],"consists":[145,184],"four":[147],"components":[148],"namely":[149],"Data":[150,153],"collection":[151],"&":[152],"pre-processing,":[154],"Convolutional":[158],"networks,":[160],"based":[163],"model":[164],"using":[165,178],"parametric":[166],"circuits":[168],"(PQC),":[169],"Evaluation":[170],"Analysis.":[172],"extensive":[174],"experimentation":[175],"carried":[176],"out":[177],"LIDC-IDRI":[179],"cancer":[181],"datasets":[182],"original":[186],"1018":[187],"CT":[188],"Images":[190],"various":[192],"capability":[194],"tests":[195],"was":[196],"performed,":[197],"then":[200],"compared":[201],"other":[204,248],"framework.":[206],"Results":[207],"demonstrate":[208],"that":[209],"quantum-based":[210],"produced":[214],"accuracy":[216],"0.97,":[218],"precision":[219],"0.964,":[221],"recall":[222],"0.963":[224],"F1-score":[226],"0.97":[228],"besides":[229],"showing":[230],"its":[231],"strength":[232],"success":[234],"terms":[236],"recognising":[238],"image":[240],"data":[241],"training(5.431":[244],"HRS)":[245],"existing":[249],"models.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
