{"id":"https://openalex.org/W4391984340","doi":"https://doi.org/10.1109/access.2024.3367806","title":"QuCNet: Quantum-Inspired Convolutional Neural Networks for Optimized Thyroid Nodule Classification","display_name":"QuCNet: Quantum-Inspired Convolutional Neural Networks for Optimized Thyroid Nodule Classification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391984340","doi":"https://doi.org/10.1109/access.2024.3367806"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3367806","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3367806","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3367806","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061550392","display_name":"Gunti Swathi","orcid":"https://orcid.org/0009-0006-8171-2182"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gunti Swathi","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai, India"],"raw_orcid":"https://orcid.org/0009-0006-8171-2182","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055089149","display_name":"Ali Altalbe","orcid":"https://orcid.org/0000-0003-1304-3723"},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ali Altalbe","raw_affiliation_strings":["Department of Computer Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-1304-3723","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111727218","display_name":"R Prasanna Kumar","orcid":"https://orcid.org/0000-0001-6103-259X"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Prasanna Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0001-6103-259X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":7.7192,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9818886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"27829","last_page":"27842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9406999945640564,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9406999945640564,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7490758895874023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294740676879883},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5148352980613708},{"id":"https://openalex.org/keywords/nodule","display_name":"Nodule (geology)","score":0.5089097023010254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4942622184753418},{"id":"https://openalex.org/keywords/thyroid","display_name":"Thyroid","score":0.4135349690914154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3549851179122925},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11885818839073181},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10813423991203308},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08893951773643494},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08770915865898132},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.0675005316734314},{"id":"https://openalex.org/keywords/paleontology","display_name":"Paleontology","score":0.06193503737449646}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7490758895874023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294740676879883},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5148352980613708},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.5089097023010254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4942622184753418},{"id":"https://openalex.org/C526584372","wikidata":"https://www.wikidata.org/wiki/Q16399","display_name":"Thyroid","level":2,"score":0.4135349690914154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3549851179122925},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11885818839073181},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10813423991203308},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08893951773643494},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08770915865898132},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0675005316734314},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.06193503737449646}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3367806","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3367806","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f93afc7eb9e549d18d34cdd639966cbe","is_oa":true,"landing_page_url":"https://doaj.org/article/f93afc7eb9e549d18d34cdd639966cbe","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":"IEEE Access, Vol 12, Pp 27829-27842 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3367806","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3367806","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3464019659","display_name":null,"funder_award_id":"PSAU/2023/01/29091","funder_id":"https://openalex.org/F4320311227","funder_display_name":"Prince Sattam bin Abdulaziz University"}],"funders":[{"id":"https://openalex.org/F4320311227","display_name":"Prince Sattam bin Abdulaziz University","ror":"https://ror.org/04jt46d36"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2027685755","https://openalex.org/W2067088992","https://openalex.org/W2148143831","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2603963723","https://openalex.org/W2699360047","https://openalex.org/W2735666957","https://openalex.org/W2792643794","https://openalex.org/W2794830684","https://openalex.org/W2899483933","https://openalex.org/W2963446712","https://openalex.org/W3007475506","https://openalex.org/W3043966529","https://openalex.org/W3095900180","https://openalex.org/W3109216387","https://openalex.org/W3138877354","https://openalex.org/W3185284713","https://openalex.org/W4304755957","https://openalex.org/W4311694002","https://openalex.org/W4312084891","https://openalex.org/W4315498974","https://openalex.org/W4318478319","https://openalex.org/W4321498177","https://openalex.org/W4327736714","https://openalex.org/W4367693569","https://openalex.org/W4376280052","https://openalex.org/W4384009638","https://openalex.org/W4386427208","https://openalex.org/W4388913965","https://openalex.org/W4389543292","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6907842666"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1964806738","https://openalex.org/W4243779904","https://openalex.org/W2332066440","https://openalex.org/W4377691549","https://openalex.org/W2056973590","https://openalex.org/W2331635898","https://openalex.org/W2107939670"],"abstract_inverted_index":{"The":[0,85,112,139,223],"escalating":[1],"incidence":[2],"of":[3,19,58,71,106,141,148,162,165,169,188,191,195,209,219,247],"thyroid":[4,20,107,149,220,248],"cancer":[5],"over":[6],"the":[7,11,47,55,69,104,129,135,157,183,207,217,242],"past":[8],"decade":[9],"underscores":[10],"imperative":[12],"for":[13,25,51,75,93,103,179],"effective":[14],"classification":[15,105,113,244],"and":[16,54,78,127,167,193,229,245],"early":[17],"detection":[18,77],"nodules.":[21],"An":[22],"automated":[23],"system":[24],"this":[26,39],"purpose":[27],"could":[28,233],"significantly":[29],"aid":[30],"physicians,":[31],"particularly":[32],"in":[33,109,216,238],"expediting":[34],"diagnostic":[35],"processes.":[36],"However,":[37],"attaining":[38],"objective":[40],"has":[41],"proven":[42],"challenging,":[43],"primarily":[44],"attributed":[45],"to":[46,133],"constrained":[48],"dataset":[49,174,200],"size":[50],"medical":[52],"images":[53],"laborious":[56],"process":[57,114],"feature":[59,95],"extraction.":[60],"This":[61],"research":[62],"addresses":[63],"these":[64],"challenges":[65],"by":[66],"thoroughly":[67],"exploring":[68],"importance":[70],"extracting":[72],"meaningful":[73],"features":[74],"tumor":[76,155],"introducing":[79],"a":[80,89,99,145,172,198,213,227],"quantum-based":[81],"convolutional":[82],"neural":[83,101],"network.":[84],"proposed":[86,224],"approach":[87],"employs":[88],"quantum":[90],"filter":[91],"transformation":[92],"intricate":[94],"extraction,":[96],"coupled":[97],"with":[98],"classical":[100],"network":[102],"nodules":[108,121],"ultrasound":[110],"images.":[111,177,203],"involves":[115],"two":[116],"distinct":[117],"categorizations:":[118],"distinguishing":[119],"between":[120],"that":[122,232],"are":[123],"benign":[124],"or":[125],"malignant,":[126],"identifying":[128],"specific":[130],"suspicious":[131,180],"class":[132],"which":[134],"nodule":[136,221],"is":[137],"attributed.":[138],"amalgamation":[140],"both":[142],"classifiers":[143],"yields":[144],"comprehensive":[146],"characterization":[147],"nodules,":[150],"showcasing":[151],"notable":[152],"accuracy.":[153],"For":[154],"classification,":[156,182],"model":[158,184,225],"achieves":[159],"an":[160,186],"accuracy":[161,187],"97.63%,":[163],"precision":[164,190],"97.72%,":[166],"recall":[168,194],"97.64%":[170],"on":[171,197],"test":[173,199],"containing":[175,201],"127":[176],"Similarly,":[178],"level":[181],"attains":[185],"93.87%,":[189],"94.58%,":[192],"93.88%":[196],"98":[202],"These":[204],"results":[205],"surpass":[206],"performance":[208],"existing":[210],"models,":[211],"marking":[212],"significant":[214],"advancement":[215],"field":[218],"classification.":[222],"represents":[226],"promising":[228],"innovative":[230],"methodology":[231],"offer":[234],"valuable":[235],"support":[236],"mechanisms":[237],"clinical":[239],"settings,":[240],"facilitating":[241],"rapid":[243],"diagnosis":[246],"cancer.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}
