{"id":"https://openalex.org/W2000200702","doi":"https://doi.org/10.1142/s146902680600185x","title":"A KNOWLEDGE-BASED LUNG NODULE DETECTION SYSTEM FOR HELICAL CT IMAGES","display_name":"A KNOWLEDGE-BASED LUNG NODULE DETECTION SYSTEM FOR HELICAL CT IMAGES","publication_year":2006,"publication_date":"2006-09-01","ids":{"openalex":"https://openalex.org/W2000200702","doi":"https://doi.org/10.1142/s146902680600185x","mag":"2000200702"},"language":"en","primary_location":{"id":"doi:10.1142/s146902680600185x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s146902680600185x","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-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/A5017419337","display_name":"Hongshun Su","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"HONGSHUN SU","raw_affiliation_strings":["Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059073882","display_name":"Ravi Sankar","orcid":"https://orcid.org/0000-0003-2206-6767"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"RAVI SANKAR","raw_affiliation_strings":["Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of South Florida, Tampa, FL 33620, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":null,"display_name":"WEI QIAN","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]},{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"WEI QIAN","raw_affiliation_strings":["Department of Interdisciplinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, FL 33620, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Interdisciplinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, FL 33620, USA","institution_ids":["https://openalex.org/I2613432","https://openalex.org/I3019308854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5609,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.79308751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"06","issue":"03","first_page":"371","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9922000169754028,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9922000169754028,"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":0.9843999743461609,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.840721607208252},{"id":"https://openalex.org/keywords/blackboard","display_name":"Blackboard (design pattern)","score":0.6787371635437012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.615312933921814},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5808585286140442},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.5323256254196167},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42060586810112},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41925132274627686},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.41408854722976685},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35118046402931213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3374954164028168},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10100746154785156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840721607208252},{"id":"https://openalex.org/C2778308757","wikidata":"https://www.wikidata.org/wiki/Q23601418","display_name":"Blackboard (design pattern)","level":2,"score":0.6787371635437012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.615312933921814},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5808585286140442},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.5323256254196167},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42060586810112},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41925132274627686},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.41408854722976685},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35118046402931213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3374954164028168},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10100746154785156},{"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:10.1142/s146902680600185x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s146902680600185x","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1496092147","https://openalex.org/W1498143793","https://openalex.org/W1571637571","https://openalex.org/W1964643937","https://openalex.org/W2019784121","https://openalex.org/W2022372463","https://openalex.org/W2035374697","https://openalex.org/W2044573147","https://openalex.org/W2058618799","https://openalex.org/W2063582544","https://openalex.org/W2104775919","https://openalex.org/W2115242586","https://openalex.org/W2115597079","https://openalex.org/W2120085308","https://openalex.org/W2131554244","https://openalex.org/W2151584891","https://openalex.org/W2154392078","https://openalex.org/W2165592437","https://openalex.org/W4235367515"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2348888646","https://openalex.org/W2381332051","https://openalex.org/W1772278084","https://openalex.org/W2321443665","https://openalex.org/W2375699995","https://openalex.org/W2043719711"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"describe":[4],"a":[5,23,28,38,68],"knowledge-based":[6,164],"system":[7,19,65,133],"for":[8],"segmenting":[9],"and":[10,37,46,121,144,158],"labeling":[11],"lung":[12,29,50,104,122,126,165],"nodule":[13,77,166],"on":[14,81],"helical":[15],"CT":[16],"images.":[17],"The":[18,64,88,149],"was":[20,57,129],"developed":[21],"under":[22],"blackboard":[24],"environment":[25],"that":[26],"incorporates":[27],"knowledge":[30,48,128],"model,":[31,34,41],"image":[32,120],"processing":[33],"inference":[35],"engine":[36],"blackboard.":[39],"Lung":[40],"which":[42],"contains":[43],"both":[44],"analogical":[45],"propositional":[47],"about":[49],"in":[51,67,102,131],"the":[52,61,75,82,103,113,116,119,132,154,159,162],"form":[53],"of":[54,115,138,156,161],"semantic":[55],"networks,":[56],"used":[58],"to":[59,74,92,111,134],"guide":[60],"interpretation":[62],"process.":[63],"works":[66],"hierarchical":[69],"structure,":[70],"from":[71],"large":[72],"structures":[73],"final":[76],"candidates":[78],"by":[79,86,98],"focusing":[80],"interested":[83],"region":[84],"step":[85],"step.":[87],"symbolic":[89],"variables,":[90],"introduced":[91],"accomplish":[93],"high-level":[94],"inference,":[95],"were":[96,109,142,147],"defined":[97],"fuzzy":[99,107],"confidence":[100],"functions":[101,108],"model.":[105],"Composite":[106],"applied":[110],"evaluate":[112],"plausibility":[114],"mapping":[117],"between":[118],"model":[123],"objects.":[124,140],"Anatomical":[125],"segments":[127],"embedded":[130],"direct":[135],"3D":[136],"validation":[137],"suspicious":[139],"Structures":[141],"identified":[143],"abnormal":[145],"objects":[146],"reported.":[148],"experimental":[150],"results":[151],"obtained":[152],"demonstrate":[153],"proof":[155],"concept":[157],"potential":[160],"automated":[163],"detection":[167],"system.":[168]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
