{"id":"https://openalex.org/W7127405876","doi":"https://doi.org/10.1109/rivf68649.2025.11365211","title":"Efficient Diagnosis of Chronic Obstructive Pulmonary Disease Using a Lightweight Deep Learning Model","display_name":"Efficient Diagnosis of Chronic Obstructive Pulmonary Disease Using a Lightweight Deep Learning Model","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W7127405876","doi":"https://doi.org/10.1109/rivf68649.2025.11365211"},"language":null,"primary_location":{"id":"doi:10.1109/rivf68649.2025.11365211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf68649.2025.11365211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 RIVF International Conference on Computing and Communication Technologies (RIVF)","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/A5032725043","display_name":"M. L. Nguyen","orcid":"https://orcid.org/0009-0008-3746-389X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minh-Nhat Nguyen","raw_affiliation_strings":["University of Information Technology,Ho Chi Minh City,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Information Technology,Ho Chi Minh City,Vietnam","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124918928","display_name":"Bao-Thinh Nguyen-Tat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163004","display_name":"Pham Ngoc Thach Hospital","ror":"https://ror.org/05yevm258","country_code":"VN","type":"healthcare","lineage":["https://openalex.org/I4210163004"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Bao-Thinh Nguyen-Tat","raw_affiliation_strings":["Lanh Binh Thang Hospital,Ho Chi Minh City,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanh Binh Thang Hospital,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I4210163004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124895556","display_name":"Thien Bao Nguyen-Tat","orcid":null},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thien Bao Nguyen-Tat","raw_affiliation_strings":["Vietnam National University,Ho Chi Minh City,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vietnam National University,Ho Chi Minh City,Vietnam","institution_ids":["https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74159842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1134","last_page":"1139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.8788999915122986,"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":0.8788999915122986,"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":0.018300000578165054,"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/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.013899999670684338,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.800000011920929},{"id":"https://openalex.org/keywords/pulmonary-disease","display_name":"Pulmonary disease","score":0.7376999855041504},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7024999856948853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49070000648498535},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3260999917984009},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.3125999867916107}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.800000011920929},{"id":"https://openalex.org/C2992779976","wikidata":"https://www.wikidata.org/wiki/Q3286546","display_name":"Pulmonary disease","level":2,"score":0.7376999855041504},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7024999856948853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6453999876976013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5810999870300293},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49070000648498535},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.48750001192092896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41429999470710754},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C2987552334","wikidata":"https://www.wikidata.org/wiki/Q383126","display_name":"Chronic disease","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.271699994802475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2605000138282776},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf68649.2025.11365211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf68649.2025.11365211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2611650229","https://openalex.org/W2963446712","https://openalex.org/W2964081807","https://openalex.org/W3211191383","https://openalex.org/W4389719396","https://openalex.org/W4392301323","https://openalex.org/W4392436622","https://openalex.org/W4393941051","https://openalex.org/W4395455301","https://openalex.org/W4399010037","https://openalex.org/W4399177469","https://openalex.org/W4399199139","https://openalex.org/W4402092605","https://openalex.org/W4407202349","https://openalex.org/W4407320282","https://openalex.org/W4411449553","https://openalex.org/W4411458843"],"related_works":[],"abstract_inverted_index":{"Chronic":[0],"Obstructive":[1],"Pulmonary":[2],"Disease":[3],"(COPD)":[4],"is":[5,121,152],"a":[6,36,54,63,91],"common":[7],"lung":[8],"condition":[9],"that":[10,97,120],"can":[11],"lead":[12],"to":[13,30,123],"serious":[14],"complications,":[15],"yet":[16],"it":[17],"has":[18],"not":[19],"received":[20],"significant":[21],"attention":[22],"in":[23,140],"artificial":[24],"intelligence":[25],"research.":[26],"Our":[27,69],"study":[28],"aims":[29],"fill":[31],"this":[32],"gap":[33],"by":[34],"introducing":[35],"computationally":[37],"efficient":[38],"and":[39,83,93,113,129,137],"lightweight":[40],"deep":[41],"learning":[42],"model":[43,65,71,87,134],"for":[44,66],"classifying":[45],"pulmonary":[46],"diseases":[47],"using":[48],"chest":[49],"X-ray":[50],"images.":[51],"We":[52],"utilize":[53],"custom":[55],"Convolutional":[56],"Neural":[57],"Network":[58],"(CNN)":[59],"architecture":[60],"along":[61],"with":[62],"YOLOv8n":[64],"image":[67],"preprocessing.":[68],"streamlined":[70],"accurately":[72],"differentiates":[73],"between":[74],"five":[75],"categories:":[76],"COPD,":[77],"COVID-19,":[78],"Bacterial":[79],"Pneumonia,":[80,82],"Viral":[81],"healthy":[84],"controls.":[85],"The":[86,149],"was":[88],"trained":[89],"on":[90,146],"well-curated":[92],"publicly":[94,153],"available":[95],"dataset":[96,151],"we":[98],"compiled":[99],"from":[100],"many":[101],"reputable":[102],"sources,":[103],"achieving":[104],"an":[105,135],"accuracy":[106],"exceeding":[107],"92":[108],"%.":[109],"Its":[110],"compact":[111],"design":[112],"minimal":[114],"number":[115],"of":[116],"parameters":[117],"provide":[118],"performance":[119],"comparable":[122],"larger":[124],"models":[125],"such":[126],"as":[127,143,145],"VGG":[128],"MobileNet.":[130],"This":[131],"makes":[132],"our":[133],"effective":[136],"deployable":[138],"solution":[139],"clinical":[141],"settings":[142],"well":[144],"resourcelimited":[147],"devices.":[148],"curated":[150],"accessible":[154],"at:":[155],"https://www.kaggle.com/datasets/minhnhat232/dataset-covid-bacterial-viral-normal-emphysema.":[156]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-04T00:00:00"}