{"id":"https://openalex.org/W3201145238","doi":"https://doi.org/10.32604/iasc.2022.018974","title":"Multi-Model Detection of Lung Cancer Using Unsupervised Diffusion Classification Algorithm","display_name":"Multi-Model Detection of Lung Cancer Using Unsupervised Diffusion Classification Algorithm","publication_year":2021,"publication_date":"2021-09-22","ids":{"openalex":"https://openalex.org/W3201145238","doi":"https://doi.org/10.32604/iasc.2022.018974","mag":"3201145238"},"language":"en","primary_location":{"id":"doi:10.32604/iasc.2022.018974","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.018974","pdf_url":"https://www.techscience.com/iasc/v31n2/44520/pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.techscience.com/iasc/v31n2/44520/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101892744","display_name":"N. Jayanthi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"N. Jayanthi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108832999","display_name":"D. Manohari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Manohari","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063103313","display_name":"Mohamed Yacin Sikkandar","orcid":"https://orcid.org/0000-0002-7971-1504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Yacin Sikkandar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080511170","display_name":"Mohamed Abdelkader Aboamer","orcid":"https://orcid.org/0000-0002-4433-776X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Abdelkader Aboamer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085485780","display_name":"Mohamed Waly","orcid":"https://orcid.org/0000-0003-4737-6833"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Ibrahim Waly","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"C. Bharatiraja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Bharatiraja","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101892744"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4408,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65675303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"31","issue":"2","first_page":"1317","last_page":"1329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9958999752998352,"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/T10862","display_name":"AI in cancer detection","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.7904413938522339},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.589998722076416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5378775596618652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5101621150970459},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.502117395401001},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4592236876487732},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4560726284980774},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4457463026046753},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4322248697280884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40319758653640747},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3581346869468689},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21393829584121704},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08662474155426025},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0856611430644989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904413938522339},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.589998722076416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5378775596618652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5101621150970459},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.502117395401001},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4592236876487732},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4560726284980774},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4457463026046753},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4322248697280884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40319758653640747},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3581346869468689},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21393829584121704},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08662474155426025},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0856611430644989},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/iasc.2022.018974","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.018974","pdf_url":"https://www.techscience.com/iasc/v31n2/44520/pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/iasc.2022.018974","is_oa":true,"landing_page_url":"https://doi.org/10.32604/iasc.2022.018974","pdf_url":"https://www.techscience.com/iasc/v31n2/44520/pdf","source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation &amp; Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201145238.pdf","grobid_xml":"https://content.openalex.org/works/W3201145238.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1572612440","https://openalex.org/W2032476576","https://openalex.org/W2122692815","https://openalex.org/W2131251288","https://openalex.org/W2148704221","https://openalex.org/W2157469204","https://openalex.org/W2161912327","https://openalex.org/W2187084311","https://openalex.org/W2205795857","https://openalex.org/W2319354435","https://openalex.org/W2322371438","https://openalex.org/W2341482409","https://openalex.org/W2342295631","https://openalex.org/W3045849311","https://openalex.org/W3092203703","https://openalex.org/W3137495194","https://openalex.org/W6634535221","https://openalex.org/W6648543628","https://openalex.org/W6658619248","https://openalex.org/W6674472068","https://openalex.org/W6682084738","https://openalex.org/W6687434099","https://openalex.org/W6704096500","https://openalex.org/W6747598441"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W1964120219","https://openalex.org/W2000165426","https://openalex.org/W2385132419","https://openalex.org/W2772780115","https://openalex.org/W2546942002","https://openalex.org/W1775397219"],"abstract_inverted_index":{"Lung":[0],"cancer":[1,47,121],"is":[2,27,57,79,88,110,124],"a":[3,44,72],"curable":[4],"disease":[5],"if":[6],"detected":[7],"early,":[8],"and":[9,22],"its":[10],"mortality":[11],"rate":[12],"decreases":[13],"with":[14],"forwarding":[15],"treatment":[16],"measures.":[17],"At":[18],"first,":[19],"an":[20,51,104],"easy":[21],"accurate":[23],"way":[24],"to":[25,59,81,90,112,155],"detect":[26],"by":[28],"using":[29],"image":[30,74],"processing":[31],"techniques":[32],"on":[33,126],"the":[34,39,65,68,92,100,115,142,156],"cancer-affected":[35,101],"images":[36,62],"captured":[37],"from":[38,130],"patients.":[40],"This":[41],"paper":[42],"proposes":[43],"novel":[45],"lung":[46,120,145,160],"detection":[48,76,122,143,158],"method.":[49],"Firstly,":[50],"adaptive":[52],"median":[53],"filter":[54],"algorithm":[55,77,109],"(AMF)":[56],"applied":[58],"preprocess":[60],"those":[61,83],"for":[63],"improving":[64],"quality":[66],"of":[67,99,144,159],"affected":[69,116],"area.":[70,102],"Then,":[71,85],"supervised":[73],"edge":[75],"(SIED)":[78],"presented":[80],"segment":[82],"images.":[84],"feature":[86],"extraction":[87],"employed":[89],"extract":[91],"mean,":[93],"standard":[94,131],"deviation,":[95],"energy,":[96],"contrast,":[97],"etc.,":[98],"Finally,":[103],"unsupervised":[105],"diffusion":[106],"classification":[107],"(UDC)":[108],"explored":[111],"narrow":[113],"down":[114],"areas.":[117],"The":[118,135],"proposed":[119],"method":[123],"implemented":[125],"two":[127],"datasets":[128],"obtained":[129],"hospital":[132],"real-time":[133],"values.":[134],"experiment":[136],"results":[137],"achieved":[138],"superior":[139],"performance":[140],"in":[141],"cancer,":[146],"which":[147],"demonstrates":[148],"that":[149],"our":[150],"new":[151],"model":[152],"can":[153],"contribute":[154],"early":[157],"cancer.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
