{"id":"https://openalex.org/W4387121753","doi":"https://doi.org/10.1145/3613307.3613313","title":"An Automatic Classification Framework using Multi-Modal Deep Learning for Lung Diseases","display_name":"An Automatic Classification Framework using Multi-Modal Deep Learning for Lung Diseases","publication_year":2023,"publication_date":"2023-07-21","ids":{"openalex":"https://openalex.org/W4387121753","doi":"https://doi.org/10.1145/3613307.3613313"},"language":"en","primary_location":{"id":"doi:10.1145/3613307.3613313","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3613307.3613313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065698426","display_name":"Abobaker Mohammed Qasem Farhan","orcid":"https://orcid.org/0000-0002-5517-1857"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abobaker M. Q. Farhan","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-5517-1857","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076944292","display_name":"Shangming Yang","orcid":"https://orcid.org/0000-0001-7227-3698"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangming Yang","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-7227-3698","affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006945618","display_name":"Abdulrahman Al\u2010Malahi","orcid":"https://orcid.org/0000-0002-0053-9319"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abdulrahman Al-Malahi","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-0053-9319","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.7601,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77857369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2022","issue":null,"first_page":"28","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9976999759674072,"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":0.9907000064849854,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8255660533905029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128584623336792},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7774239778518677},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7233434319496155},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6967886686325073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.592677891254425},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5816806554794312},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5466597080230713},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5246508121490479},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4440057873725891},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4288046658039093},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42474332451820374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3916263282299042},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3577756881713867}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8255660533905029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128584623336792},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7774239778518677},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7233434319496155},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6967886686325073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.592677891254425},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5816806554794312},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5466597080230713},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5246508121490479},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4440057873725891},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4288046658039093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42474332451820374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3916263282299042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3577756881713867},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3613307.3613313","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3613307.3613313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2595626209","https://openalex.org/W2895328943","https://openalex.org/W2910121883","https://openalex.org/W2982642910","https://openalex.org/W2999759831","https://openalex.org/W3013601031","https://openalex.org/W3020959930","https://openalex.org/W3036881855","https://openalex.org/W3082967155","https://openalex.org/W3083753334","https://openalex.org/W3086547236","https://openalex.org/W3087265446","https://openalex.org/W3087889038","https://openalex.org/W3089325048","https://openalex.org/W3097174181","https://openalex.org/W3100321043","https://openalex.org/W3106286734","https://openalex.org/W3121971531","https://openalex.org/W3123686843","https://openalex.org/W3138985726","https://openalex.org/W3198276338","https://openalex.org/W3217549023","https://openalex.org/W4224127965","https://openalex.org/W4365445830","https://openalex.org/W6805194283","https://openalex.org/W6806201538","https://openalex.org/W6807919525"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Disease":[0],"identification":[1],"across":[2],"multiple":[3],"modalities":[4],"remains":[5],"a":[6],"challenging":[7],"task.":[8],"Recent":[9],"research":[10],"has":[11],"explored":[12],"early,":[13],"automatic":[14,41,84,123],"disease":[15,43,147],"prediction":[16],"using":[17,45,153],"single":[18],"modality":[19],"inputs":[20],"and":[21,50,60,68,87,100,118,144,155],"computer":[22],"vision":[23],"with":[24,107],"deep":[25,82],"learning":[26,106],"techniques.":[27],"In":[28],"this":[29],"study,":[30],"we":[31],"introduce":[32],"the":[33,91,130,138],"Robust":[34],"Multi-modal":[35],"Deep":[36],"Learning-based":[37],"(RMDL)":[38],"framework":[39,55],"for":[40,122],"lung":[42,63,146],"classification":[44],"both":[46],"computed":[47],"tomography":[48],"(CT)":[49],"X-ray":[51],"scans.":[52],"The":[53,74,111],"RMDL":[54,78],"comprises":[56],"segmentation,":[57,67],"feature":[58,85,105,125],"extraction,":[59],"classification.":[61,88],"Input":[62],"images":[64],"undergo":[65],"pre-processing,":[66],"region":[69],"of":[70,77],"interest":[71],"(ROI)":[72],"extraction.":[73,126],"core":[75],"contribution":[76],"lies":[79],"in":[80],"its":[81],"learning-based":[83],"extraction":[86],"We":[89,127],"modify":[90],"Convolutional":[92],"Neural":[93],"Network":[94],"(CNN)":[95],"model":[96,114],"to":[97,136],"address":[98],"overfitting":[99],"exploding":[101,139],"gradients,":[102],"enabling":[103,142],"efficient":[104],"minimal":[108],"computing":[109],"cost.":[110],"modified":[112],"CNN":[113],"employs":[115],"L1":[116],"normalization":[117],"novel":[119],"convolutional":[120],"layers":[121],"low-dimensional":[124],"further":[128],"utilize":[129],"Long":[131],"Short-Term":[132],"Memory":[133],"(LSTM)":[134],"classifier":[135],"mitigate":[137],"gradient":[140],"problem,":[141],"accurate":[143],"early":[145],"prediction.":[148],"RMDL's":[149],"performance":[150],"was":[151],"assessed":[152],"CXRTD":[154],"CCSC":[156],"datasets.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}