{"id":"https://openalex.org/W4392981449","doi":"https://doi.org/10.1109/icaiic60209.2024.10463210","title":"Binary Count Ratio for Lung Cancer Classification in Computerized Tomography Scan Images","display_name":"Binary Count Ratio for Lung Cancer Classification in Computerized Tomography Scan Images","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392981449","doi":"https://doi.org/10.1109/icaiic60209.2024.10463210"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5081822779","display_name":"Sittisak Saechueng","orcid":null},"institutions":[{"id":"https://openalex.org/I129488602","display_name":"Burapha University","ror":"https://ror.org/01ff74m36","country_code":"TH","type":"education","lineage":["https://openalex.org/I129488602"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Sittisak Saechueng","raw_affiliation_strings":["Burapha University,Faculty of Informatics,Chonburi,Thailand","Faculty of Informatics, Burapha University, Chonburi, Thailand"],"affiliations":[{"raw_affiliation_string":"Burapha University,Faculty of Informatics,Chonburi,Thailand","institution_ids":["https://openalex.org/I129488602"]},{"raw_affiliation_string":"Faculty of Informatics, Burapha University, Chonburi, Thailand","institution_ids":["https://openalex.org/I129488602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040239359","display_name":"Ungsumalee Suttapakti","orcid":"https://orcid.org/0000-0003-4981-7815"},"institutions":[{"id":"https://openalex.org/I129488602","display_name":"Burapha University","ror":"https://ror.org/01ff74m36","country_code":"TH","type":"education","lineage":["https://openalex.org/I129488602"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Ungsumalee Suttapakti","raw_affiliation_strings":["Burapha University,Faculty of Informatics,Chonburi,Thailand","Faculty of Informatics, Burapha University, Chonburi, Thailand"],"affiliations":[{"raw_affiliation_string":"Burapha University,Faculty of Informatics,Chonburi,Thailand","institution_ids":["https://openalex.org/I129488602"]},{"raw_affiliation_string":"Faculty of Informatics, Burapha University, Chonburi, Thailand","institution_ids":["https://openalex.org/I129488602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081822779"],"corresponding_institution_ids":["https://openalex.org/I129488602"],"apc_list":null,"apc_paid":null,"fwci":1.7182,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83132694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"070","last_page":"074"},"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":0.9822999835014343,"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":0.9822999835014343,"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":0.9539999961853027,"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/computed-tomography","display_name":"Computed tomography","score":0.6069385409355164},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6015946865081787},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5784530639648438},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4585525691509247},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4480687081813812},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4433360993862152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43567970395088196},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4115406274795532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40641650557518005},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3802381157875061},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.33315205574035645},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.15003260970115662},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11537328362464905}],"concepts":[{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.6069385409355164},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6015946865081787},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5784530639648438},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4585525691509247},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4480687081813812},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4433360993862152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43567970395088196},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4115406274795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40641650557518005},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3802381157875061},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.33315205574035645},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.15003260970115662},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11537328362464905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2044465660","https://openalex.org/W2161969291","https://openalex.org/W2472057509","https://openalex.org/W2980193063","https://openalex.org/W3094304708","https://openalex.org/W3095448153","https://openalex.org/W3127298451","https://openalex.org/W3180076059","https://openalex.org/W3199562106","https://openalex.org/W4210792059","https://openalex.org/W4241479559","https://openalex.org/W4312987123","https://openalex.org/W4385563491","https://openalex.org/W6720447163","https://openalex.org/W6798039869"],"related_works":["https://openalex.org/W2064573700","https://openalex.org/W2967366602","https://openalex.org/W2034850138","https://openalex.org/W2050807133","https://openalex.org/W1985504019","https://openalex.org/W3086104399","https://openalex.org/W328486336","https://openalex.org/W1995688399","https://openalex.org/W2042967125","https://openalex.org/W2443196326"],"abstract_inverted_index":{"Accurate":[0],"lung":[1,14,29,65,144,151],"cancer":[2,30,66,78,152],"classification":[3,123,153],"is":[4,22,90,136],"important":[5],"for":[6],"patient":[7],"treatment.":[8],"However,":[9],"existing":[10],"methods":[11],"inefficiently":[12],"classify":[13,93],"cancer.":[15],"Therefore,":[16],"the":[17,26,48,55,64,73,86,105,108,130,148],"binary":[18],"count":[19],"ratio":[20,56],"(BCR)":[21],"proposed":[23,69,109,134],"to":[24,41,62,92,138],"enhance":[25],"accuracy":[27,124],"of":[28,47,57,104,118,143,150],"classification.":[31],"This":[32],"method":[33,50,71,89,111,135],"utilizes":[34],"adaptive":[35],"thresholding":[36],"based":[37],"on":[38],"column":[39],"mean":[40],"binarize":[42],"CT":[43,81,155],"images.":[44,83,157],"The":[45,68,133],"features":[46],"BCR":[49,70,110],"are":[51,77,127],"computed":[52],"by":[53],"using":[54],"black":[58],"and":[59,116,122],"white":[60,74],"pixels":[61,75],"identify":[63],"areas.":[67],"captures":[72],"which":[76,126],"areas":[79,142],"in":[80,154],"scan":[82,156],"After":[84],"that,":[85],"Euclidean":[87],"distance":[88],"used":[91],"a":[94],"normal":[95],"or":[96,98],"benign":[97],"malignant":[99],"class.":[100],"For":[101],"1,097":[102],"images":[103],"IQ-OTH/NCCD":[106],"dataset,":[107],"achieves":[112],"0.9810,":[113],"0.9618,":[114],"0.9705,":[115],"0.9832":[117],"precision,":[119],"recall,":[120],"F1-score,":[121],"values":[125],"higher":[128],"than":[129],"conventional":[131],"methods.":[132],"able":[137],"efficiently":[139],"extract":[140],"pixel":[141],"cancer,":[145],"thus":[146],"improving":[147],"effectiveness":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}