{"id":"https://openalex.org/W4386066786","doi":"https://doi.org/10.1109/smartnets58706.2023.10216201","title":"The application and comparison of Deep Learning models for the prediction of chest cancer prognosis","display_name":"The application and comparison of Deep Learning models for the prediction of chest cancer prognosis","publication_year":2023,"publication_date":"2023-07-25","ids":{"openalex":"https://openalex.org/W4386066786","doi":"https://doi.org/10.1109/smartnets58706.2023.10216201"},"language":"en","primary_location":{"id":"doi:10.1109/smartnets58706.2023.10216201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10216201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","raw_type":"proceedings-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/A5109668994","display_name":"Mahadi Hasan","orcid":null},"institutions":[{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]},{"id":"https://openalex.org/I189957204","display_name":"University of South Dakota","ror":"https://ror.org/0043h8f16","country_code":"US","type":"education","lineage":["https://openalex.org/I189957204"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahadi Hasan","raw_affiliation_strings":["The University of Tennessee at Chattanooga Chattanooga,MS in Data Analytics,Tennessee,United States","University of South Dakota,Department of Computer Science,Vermillion,SD,USA","MS in Data Analytics, The University of Tennessee at Chattanooga Chattanooga, Tennessee, United States"],"affiliations":[{"raw_affiliation_string":"The University of Tennessee at Chattanooga Chattanooga,MS in Data Analytics,Tennessee,United States","institution_ids":["https://openalex.org/I177097968"]},{"raw_affiliation_string":"University of South Dakota,Department of Computer Science,Vermillion,SD,USA","institution_ids":["https://openalex.org/I189957204"]},{"raw_affiliation_string":"MS in Data Analytics, The University of Tennessee at Chattanooga Chattanooga, Tennessee, United States","institution_ids":["https://openalex.org/I177097968"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022453336","display_name":"Miraz Al Mamun","orcid":null},"institutions":[{"id":"https://openalex.org/I2803097894","display_name":"Christus Health","ror":"https://ror.org/0248zc213","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2803097894"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miraz Al Mamun","raw_affiliation_strings":["CHRISTUS Health,Health Outcomes &#x0026; Analytics,Irving,Texas,USA"],"affiliations":[{"raw_affiliation_string":"CHRISTUS Health,Health Outcomes &#x0026; Analytics,Irving,Texas,USA","institution_ids":["https://openalex.org/I2803097894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012543128","display_name":"Madhab Chandra Das","orcid":"https://orcid.org/0000-0003-2724-4315"},"institutions":[{"id":"https://openalex.org/I142758973","display_name":"University of Information Technology and Sciences","ror":"https://ror.org/04j1jjs80","country_code":"BD","type":"education","lineage":["https://openalex.org/I142758973"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Madhab Chandra Das","raw_affiliation_strings":["University of Information Technology and Sciences,Electrical and Electronic Engineering,Dhaka,Bangladesh","Electrical and Electronic Engineering, University of Information Technology and Sciences, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"University of Information Technology and Sciences,Electrical and Electronic Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I142758973"]},{"raw_affiliation_string":"Electrical and Electronic Engineering, University of Information Technology and Sciences, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I142758973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102773194","display_name":"Md Maruf Hasan","orcid":"https://orcid.org/0000-0002-4408-3472"},"institutions":[{"id":"https://openalex.org/I189957204","display_name":"University of South Dakota","ror":"https://ror.org/0043h8f16","country_code":"US","type":"education","lineage":["https://openalex.org/I189957204"]},{"id":"https://openalex.org/I177097968","display_name":"University of Tennessee at Chattanooga","ror":"https://ror.org/00nqb1v70","country_code":"US","type":"education","lineage":["https://openalex.org/I177097968"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Maruf Hasan","raw_affiliation_strings":["The University of Tennessee at Chattanooga Chattanooga,MS in Data Analytics,Tennessee,United States","University of South Dakota,Department of Computer Science,Vermillion,SD,USA","Department of Computer Science, University of South Dakota, Vermillion, SD, USA"],"affiliations":[{"raw_affiliation_string":"The University of Tennessee at Chattanooga Chattanooga,MS in Data Analytics,Tennessee,United States","institution_ids":["https://openalex.org/I177097968"]},{"raw_affiliation_string":"University of South Dakota,Department of Computer Science,Vermillion,SD,USA","institution_ids":["https://openalex.org/I189957204"]},{"raw_affiliation_string":"Department of Computer Science, University of South Dakota, Vermillion, SD, USA","institution_ids":["https://openalex.org/I189957204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058668087","display_name":"Asm Mohaimenul Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I189957204","display_name":"University of South Dakota","ror":"https://ror.org/0043h8f16","country_code":"US","type":"education","lineage":["https://openalex.org/I189957204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asm Mohaimenul Islam","raw_affiliation_strings":["University of South Dakota,Department of Computer Science,South Dakota,USA","Department of Computer Science, University of South Dakota, South Dakota, USA"],"affiliations":[{"raw_affiliation_string":"University of South Dakota,Department of Computer Science,South Dakota,USA","institution_ids":["https://openalex.org/I189957204"]},{"raw_affiliation_string":"Department of Computer Science, University of South Dakota, South Dakota, USA","institution_ids":["https://openalex.org/I189957204"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109668994"],"corresponding_institution_ids":["https://openalex.org/I177097968","https://openalex.org/I189957204"],"apc_list":null,"apc_paid":null,"fwci":2.129,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87511766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9994000196456909,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9983999729156494,"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/medicine","display_name":"Medicine","score":0.8202534317970276},{"id":"https://openalex.org/keywords/mediastinum","display_name":"Mediastinum","score":0.7274209856987},{"id":"https://openalex.org/keywords/chest-pain","display_name":"Chest pain","score":0.7212148308753967},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.6774533987045288},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6401812434196472},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.6009625196456909},{"id":"https://openalex.org/keywords/mesothelioma","display_name":"Mesothelioma","score":0.49581488966941833},{"id":"https://openalex.org/keywords/esophageal-cancer","display_name":"Esophageal cancer","score":0.4559808373451233},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.43229976296424866},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.23430243134498596},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1837536096572876}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.8202534317970276},{"id":"https://openalex.org/C2779126056","wikidata":"https://www.wikidata.org/wiki/Q337247","display_name":"Mediastinum","level":2,"score":0.7274209856987},{"id":"https://openalex.org/C2778704086","wikidata":"https://www.wikidata.org/wiki/Q693058","display_name":"Chest pain","level":2,"score":0.7212148308753967},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.6774533987045288},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6401812434196472},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6009625196456909},{"id":"https://openalex.org/C2777407522","wikidata":"https://www.wikidata.org/wiki/Q1077603","display_name":"Mesothelioma","level":2,"score":0.49581488966941833},{"id":"https://openalex.org/C2779742542","wikidata":"https://www.wikidata.org/wiki/Q372701","display_name":"Esophageal cancer","level":3,"score":0.4559808373451233},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.43229976296424866},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.23430243134498596},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1837536096572876}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartnets58706.2023.10216201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartnets58706.2023.10216201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Smart Applications, Communications and Networking (SmartNets)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1581170186","https://openalex.org/W2017261342","https://openalex.org/W2121678875","https://openalex.org/W2136177244","https://openalex.org/W2809254203","https://openalex.org/W2894319790","https://openalex.org/W2939466230","https://openalex.org/W2963777800","https://openalex.org/W2967412240","https://openalex.org/W3013098034","https://openalex.org/W3025156093","https://openalex.org/W3136313460","https://openalex.org/W3155491109","https://openalex.org/W4205576354","https://openalex.org/W4285101279","https://openalex.org/W4313511901","https://openalex.org/W4315486645","https://openalex.org/W4315698902","https://openalex.org/W4366250294","https://openalex.org/W4377966950","https://openalex.org/W4378373675","https://openalex.org/W4384158231","https://openalex.org/W4386072274","https://openalex.org/W4386082959","https://openalex.org/W4391770570","https://openalex.org/W6849172759","https://openalex.org/W7046346757"],"related_works":["https://openalex.org/W2064862277","https://openalex.org/W2529284065","https://openalex.org/W1973483231","https://openalex.org/W2025510760","https://openalex.org/W2045676522","https://openalex.org/W2799957336","https://openalex.org/W2105287018","https://openalex.org/W2055532379","https://openalex.org/W2040333874","https://openalex.org/W2140950351"],"abstract_inverted_index":{"Lung":[0],"cancers":[1,8,50],"of":[2,9,56,63,67,93,104,172,209,215,224,245,255],"all":[3,34],"varieties,":[4],"esophageal":[5],"cancers,":[6,38],"and":[7,24,31,113,117,139,188,250,278],"the":[10,15,21,26,57,64,102,105,111,145,191,206,210,222,232,243,285,291],"mediastinum":[11],"(the":[12,18],"area":[13],"between":[14,236],"lungs),":[16,27],"pleura":[17],"membrane":[19],"lining":[20,103],"chest":[22,37,68,94,106,167,173,178,200],"cavity":[23],"surrounding":[25],"trachea,":[28],"thymus":[29],"gland,":[30],"heart":[32],"are":[33,144,150,195],"classified":[35],"as":[36,41],"often":[39],"known":[40],"thoracic":[42,115],"cancers.":[43],"Chest":[44,59,137],"cancer":[45,98,168],"can":[46,234],"also":[47],"spread":[48],"from":[49],"that":[51,75,80,85,99,129,149,194,284],"start":[52],"in":[53,101,134,197,205,231],"other":[54,114,293],"places":[55],"body.":[58],"pain":[60],"is":[61,90,181,202,260],"one":[62],"usual":[65],"signs":[66],"cancer,":[69],"including":[70],"hemoptysis":[71],"or":[72,82,107],"a":[73,83,91,97,160,170,177,199],"cough":[74,84],"produces":[76],"blood.":[77],"Also,":[78],"Coughing":[79],"hurts":[81],"does":[86],"not":[87],"go":[88],"away":[89],"sign":[92],"cancer.":[95],"Mesothelioma,":[96],"begins":[100],"abdomen,":[108],"frequently":[109,152],"affects":[110],"lungs":[112],"organs":[116],"tissues,":[118],"which":[119],"has":[120],"prompted":[121],"us":[122],"to":[123,314],"continue":[124],"with":[125,268,320],"this":[126,130],"disease":[127],"so":[128],"research":[131],"will":[132,217],"aid":[133],"early":[135,207],"detection.":[136],"X-rays":[138],"computed":[140],"tomography":[141],"(CT)":[142],"pictures":[143],"two":[146],"diagnostic":[147],"techniques":[148],"most":[151],"utilized":[153],"for":[154,165],"these":[155,213,237],"disorders.":[156,238],"This":[157],"study":[158],"suggests":[159],"multiclassification":[161],"deep":[162,228,257,317],"learning":[163,229,258,318],"model":[164,230,287,307],"detecting":[166],"using":[169,262],"dataset":[171],"CT-Scan":[174],"pictures.":[175],"While":[176],"CT":[179,266],"scan":[180],"helpful":[182],"even":[183],"before":[184],"symptoms":[185],"show":[186],"up":[187],"precisely":[189],"detects":[190],"aberrant":[192],"features":[193],"found":[196],"images,":[198],"X-ray":[201],"less":[203],"effective":[204],"stages":[208],"disease.Furthermore,":[211],"employing":[212],"kinds":[214],"photos":[216],"improve":[218],"classification":[219],"precision.":[220],"To":[221],"best":[223],"our":[225],"knowledge,":[226],"no":[227],"literature":[233],"choose":[235],"The":[239,280,305],"current":[240],"work":[241],"considers":[242],"effectiveness":[244],"three":[246,292],"architectures\u2014":[247],"CNN,":[248],"ResNet50,":[249],"DenseNet121\u2014.":[251],"A":[252],"thorough":[253],"assessment":[254],"various":[256],"architectures":[259],"performed":[261],"publicly":[263],"available":[264],"digital":[265],"datasets":[267],"four":[269],"classifications":[270],"(Adenocarcinoma,":[271],"Large":[272],"Cell":[273,276],"Carcinoma,":[274,277],"Squamous":[275],"Normal).":[279],"study\u2019s":[281],"findings":[282],"revealed":[283],"DenseNet121":[286,306],"performs":[288],"better":[289],"than":[290],"suggested":[294],"models.":[295],"CNN":[296],"demonstrated":[297,302,308],"56.19%":[298],"accuracy,":[299],"whereas":[300],"ResNet50":[301],"56.51%":[303],"accuracy.":[304],"71.74%":[309],"accuracy":[310],"(ACC).":[311],"We":[312],"intend":[313],"investigate":[315],"further":[316],"models":[319],"large":[321],"datasets.":[322]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
