{"id":"https://openalex.org/W4413036367","doi":"https://doi.org/10.58346/jowua.2025.i2.005","title":"Hybrid Deep Learning Model Based Lung Cancer Prediction and Classification with OTSU Segmentation Method","display_name":"Hybrid Deep Learning Model Based Lung Cancer Prediction and Classification with OTSU Segmentation Method","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4413036367","doi":"https://doi.org/10.58346/jowua.2025.i2.005"},"language":"en","primary_location":{"id":"doi:10.58346/jowua.2025.i2.005","is_oa":true,"landing_page_url":"https://doi.org/10.58346/jowua.2025.i2.005","pdf_url":"https://doi.org/10.58346/jowua.2025.i2.005","source":{"id":"https://openalex.org/S2738080829","display_name":"Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications","issn_l":"2093-5374","issn":["2093-5374","2093-5382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.58346/jowua.2025.i2.005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102765613","display_name":"Neeru Bala","orcid":"https://orcid.org/0000-0002-3861-2657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Muthu Bala","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002789368","display_name":"K. Senthamarai Kannan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dr.K.S. Kannan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0182,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78433865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"75","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.8461999893188477,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.8461999893188477,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7773000001907349,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7200654149055481},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6359754204750061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6205661296844482},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.606985867023468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4961489140987396},{"id":"https://openalex.org/keywords/otsus-method","display_name":"Otsu's method","score":0.4533287286758423},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.4262159466743469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38206467032432556},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3082081377506256},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.137754887342453},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.0788792073726654}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7200654149055481},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6359754204750061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205661296844482},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.606985867023468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4961489140987396},{"id":"https://openalex.org/C21729346","wikidata":"https://www.wikidata.org/wiki/Q2444417","display_name":"Otsu's method","level":4,"score":0.4533287286758423},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.4262159466743469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38206467032432556},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3082081377506256},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.137754887342453},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.0788792073726654}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.58346/jowua.2025.i2.005","is_oa":true,"landing_page_url":"https://doi.org/10.58346/jowua.2025.i2.005","pdf_url":"https://doi.org/10.58346/jowua.2025.i2.005","source":{"id":"https://openalex.org/S2738080829","display_name":"Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications","issn_l":"2093-5374","issn":["2093-5374","2093-5382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.58346/jowua.2025.i2.005","is_oa":true,"landing_page_url":"https://doi.org/10.58346/jowua.2025.i2.005","pdf_url":"https://doi.org/10.58346/jowua.2025.i2.005","source":{"id":"https://openalex.org/S2738080829","display_name":"Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications","issn_l":"2093-5374","issn":["2093-5374","2093-5382"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413036367.pdf","grobid_xml":"https://content.openalex.org/works/W4413036367.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2071534821","https://openalex.org/W2015185374","https://openalex.org/W2981960317","https://openalex.org/W3162267746","https://openalex.org/W2360695088","https://openalex.org/W2377426844","https://openalex.org/W1614535104","https://openalex.org/W2541611006","https://openalex.org/W4306937392","https://openalex.org/W2128930943"],"abstract_inverted_index":{"The":[0,136,218],"death":[1],"rate":[2],"for":[3,96,110,121,224],"people":[4],"diagnosed":[5],"with":[6,90,228],"Lung":[7],"Cancer":[8],"(LC)":[9],"is":[10,21,30,82,119],"rather":[11],"high.":[12],"Patients'":[13],"lives":[14],"may":[15],"be":[16],"saved":[17],"if":[18],"this":[19],"illness":[20],"detected":[22],"early":[23,75],"and":[24,57,74,103,117,125,134,147,160,209],"the":[25,86,156,164,170,172,177,186,192,195,200],"stage":[26],"of":[27,70,85,194,206],"lung":[28,39],"cancer":[29,54],"correctly":[31],"identified.":[32],"To":[33],"determine":[34],"whether":[35],"a":[36,50,60,68,91,123,152],"patient":[37],"has":[38],"cancer,":[40],"traditional":[41],"approaches":[42],"use":[43],"manual":[44],"CT":[45,100],"scans.":[46],"This":[47],"study":[48,219],"presents":[49],"new":[51],"approach":[52],"to":[53,130,143,169],"cell":[55],"segmentation":[56,88],"classification":[58,108,112,178,188,202,216,227],"utilizing":[59],"Hybrid":[61],"Deep":[62],"Learning":[63],"Neural":[64,93],"Network":[65,94],"(HDL)":[66],"as":[67],"means":[69],"making":[71],"an":[72,79,104,221],"accurate":[73],"diagnosis.":[76],"What":[77],"makes":[78,140],"HNN":[80],"unique":[81],"its":[83],"combination":[84],"OTSU":[87],"model":[89,109],"Convolutional":[92],"(CNN)":[95],"feature":[97],"extraction":[98],"from":[99],"image":[101,226],"datasets":[102],"enhanced":[105],"LSTM:":[106],"RNN":[107],"improved":[111],"accuracy.":[113,217],"Prioritizing":[114],"good":[115],"health":[116],"well-being":[118],"essential":[120],"living":[122],"fulfilling":[124],"balanced":[126],"life,":[127],"enabling":[128],"individuals":[129],"thrive":[131],"both":[132],"physically":[133],"mentally.":[135],"proposed":[137],"method":[138],"also":[139],"it":[141],"possible":[142],"distinguish":[144],"between":[145],"benign":[146],"cancerous":[148],"tumors.":[149],"We":[150],"conducted":[151],"simulation":[153],"experiment":[154],"using":[155,163],"IQ-OTH/NCCD":[157],"LC":[158],"dataset":[159],"measured":[161],"outcomes":[162],"various":[165],"performance":[166],"metrics.":[167],"According":[168],"findings,":[171],"assessment":[173],"criteria":[174],"significantly":[175],"reduce":[176],"time":[179,210],"by":[180],"around":[181],"50%":[182],"while":[183,213],"maintaining":[184,214],"nearly":[185],"same":[187],"impact.":[189],"Based":[190],"on":[191],"results":[193],"simulations,":[196],"our":[197],"solution":[198],"outperforms":[199],"classic":[201],"algorithm":[203],"in":[204],"terms":[205],"convergence":[207],"speed":[208],"consumption,":[211],"all":[212],"high":[215],"provides":[220],"attractive":[222],"tool":[223],"quick":[225],"great":[229],"real-time":[230],"performance.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
