{"id":"https://openalex.org/W4294069424","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869143","title":"Detection of Lung Lesions in Chest X-ray Images based on Artificial Intelligence","display_name":"Detection of Lung Lesions in Chest X-ray Images based on Artificial Intelligence","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069424","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9869143"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9869143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869143","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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/A5023949673","display_name":"Chuanyi Wei","orcid":"https://orcid.org/0000-0003-2994-8850"},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuan-Yi Wei","raw_affiliation_strings":["National Yunlin University of Science and Technology,Department of Electrical Engineering,Yunlin,Taiwan","Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yunlin University of Science and Technology,Department of Electrical Engineering,Yunlin,Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018661769","display_name":"Chih-Ying Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Ying Ou","raw_affiliation_strings":["National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University,Division of Chest Medicine,Department of Internal Medicine,Yunlin,Taiwan","Department of Internal Medicine, Division of Chest Medicine, National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University, Yunlin, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University,Division of Chest Medicine,Department of Internal Medicine,Yunlin,Taiwan","institution_ids":["https://openalex.org/I4210158999"]},{"raw_affiliation_string":"Department of Internal Medicine, Division of Chest Medicine, National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University, Yunlin, Taiwan","institution_ids":["https://openalex.org/I4210158999"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054017259","display_name":"I-Yen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158999","display_name":"National Cheng Kung University Hospital","ror":"https://ror.org/04zx3rq17","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210158999"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"I-Yen Chen","raw_affiliation_strings":["National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University,Division of Chest Medicine,Department of Internal Medicine,Yunlin,Taiwan","Department of Internal Medicine, Division of Chest Medicine, National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University, Yunlin, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University,Division of Chest Medicine,Department of Internal Medicine,Yunlin,Taiwan","institution_ids":["https://openalex.org/I4210158999"]},{"raw_affiliation_string":"Department of Internal Medicine, Division of Chest Medicine, National Cheng Kung University Hospital, Dou-Liou Branch, College of Medicine, National Cheng Kung University, Yunlin, Taiwan","institution_ids":["https://openalex.org/I4210158999"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017425630","display_name":"Hsuan-Ting Chang","orcid":"https://orcid.org/0000-0002-4483-2023"},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsuan-Ting Chang","raw_affiliation_strings":["National Yunlin University of Science and Technology,Department of Electrical Engineering,Yunlin,Taiwan","Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yunlin University of Science and Technology,Department of Electrical Engineering,Yunlin,Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]}],"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":0.14962029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"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":0.9994000196456909,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9961000084877014,"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":0.9872999787330627,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7045878767967224},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.6303902864456177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168666481971741},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5669492483139038},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5163630247116089},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"Tuberculosis","score":0.5032207369804382},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48799270391464233},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4786575734615326},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4484800696372986},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44072216749191284},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42666497826576233},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3135979175567627},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2900363802909851},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.23952823877334595},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.21005454659461975},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11402863264083862}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7045878767967224},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.6303902864456177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168666481971741},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5669492483139038},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5163630247116089},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.5032207369804382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48799270391464233},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4786575734615326},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4484800696372986},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44072216749191284},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42666497826576233},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3135979175567627},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2900363802909851},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.23952823877334595},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.21005454659461975},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11402863264083862}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan55306.2022.9869143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9869143","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","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":11,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2001412060","https://openalex.org/W2884436604","https://openalex.org/W2977613223","https://openalex.org/W3028188598","https://openalex.org/W3034922525","https://openalex.org/W3036696790","https://openalex.org/W3087187939","https://openalex.org/W3162991966","https://openalex.org/W4300485340","https://openalex.org/W6778079524"],"related_works":["https://openalex.org/W2122667464","https://openalex.org/W2054831422","https://openalex.org/W2106731176","https://openalex.org/W2165297163","https://openalex.org/W2387104004","https://openalex.org/W2057981026","https://openalex.org/W3047671631","https://openalex.org/W1548186045","https://openalex.org/W2902098370","https://openalex.org/W2147223569"],"abstract_inverted_index":{"Tuberculosis":[0],"(TB)":[1],"remains":[2],"the":[3,20,23,27,42,76,83,105,108,116],"most":[4],"common":[5],"cause":[6],"of":[7,22,26,78,85,115,144],"death":[8],"from":[9],"a":[10,53,142,148],"single":[11],"infectious":[12],"agent.":[13],"Early":[14],"detection":[15],"and":[16,65,87,136,147],"treatment":[17],"can":[18,120,129],"limit":[19],"spread":[21],"disease.":[24],"One":[25],"critical":[28],"needs":[29],"is":[30,41,141],"to":[31,74],"use":[32],"existing":[33],"diagnostic":[34,44],"techniques":[35],"effectively.":[36],"Chest":[37],"X-rays":[38],"(CXR)":[39],"examination":[40],"primary":[43],"tool":[45],"for":[46,57],"tuberculosis.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,95],"propose":[52],"deep":[54],"learning":[55],"framework":[56],"multiclass":[58,118],"TB":[59,132,150],"lesion":[60],"semantic":[61],"segmentation.":[62],"Image":[63],"augmentation":[64],"contrast":[66],"limited":[67],"adaptive":[68],"histogram":[69],"equalization":[70],"(CLAHE)":[71],"are":[72],"used":[73],"improve":[75],"accuracy":[77,101],"segmentation":[79],"results.":[80],"We":[81],"compare":[82],"performance":[84],"U-Net":[86],"U-Net++":[88],"networks.":[89],"The":[90,126],"experimental":[91],"results":[92],"show":[93],"that":[94],"could":[96],"achieve":[97,121],"100%":[98],"image":[99],"classification":[100],"with":[102],"U-Net++.":[103],"On":[104],"other":[106],"hand,":[107],"mean":[109],"intersection":[110],"over":[111],"union":[112],"(Mean":[113],"IoU)":[114],"detected":[117],"lesions":[119],"as":[122,124],"high":[123],"0.7.":[125],"proposed":[127],"method":[128],"speed":[130],"up":[131],"diagnosis":[133],"in":[134],"low":[135],"middle-income":[137],"countries":[138],"where":[139],"there":[140],"lack":[143],"medical":[145],"expertise":[146],"severe":[149],"epidemic.":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}