{"id":"https://openalex.org/W2065637891","doi":"https://doi.org/10.1002/scj.10222","title":"Quantitative evaluation of spatial distribution of line structure in the lung for computer\u2010aided diagnosis of pulmonary nodules","display_name":"Quantitative evaluation of spatial distribution of line structure in the lung for computer\u2010aided diagnosis of pulmonary nodules","publication_year":2003,"publication_date":"2003-06-16","ids":{"openalex":"https://openalex.org/W2065637891","doi":"https://doi.org/10.1002/scj.10222","mag":"2065637891"},"language":"en","primary_location":{"id":"doi:10.1002/scj.10222","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.10222","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","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/A5040634544","display_name":"Hidenori Shikata","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidenori Shikata","raw_affiliation_strings":["Osaka University, Graduate School of Engineering Science, Toyonaka, 561-0881 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Graduate School of Engineering Science, Toyonaka, 561-0881 Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061676893","display_name":"Hiroko Kitaoka","orcid":"https://orcid.org/0000-0002-5532-2774"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroko Kitaoka","raw_affiliation_strings":["Division of Physiologic Imaging, University of Iowa College of Medicine, Iowa City, Iowa, 52240 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Physiologic Imaging, University of Iowa College of Medicine, Iowa City, Iowa, 52240 USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083824689","display_name":"Yoshinobu Sato","orcid":"https://orcid.org/0000-0001-6199-3681"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinobu Sato","raw_affiliation_strings":["Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064806876","display_name":"Takeshi Johkou","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Johkou","raw_affiliation_strings":["Image-Guided Theory, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan","Image\u2010Guided Theory, Osaka University Graduate School of Medicine, Suita, 565\u20100871 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image-Guided Theory, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Image\u2010Guided Theory, Osaka University Graduate School of Medicine, Suita, 565\u20100871 Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102053978","display_name":"Hironobu Nakamura","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironobu Nakamura","raw_affiliation_strings":["Image-Guided Theory, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan","Image\u2010Guided Theory, Osaka University Graduate School of Medicine, Suita, 565\u20100871 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image-Guided Theory, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Image\u2010Guided Theory, Osaka University Graduate School of Medicine, Suita, 565\u20100871 Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059977188","display_name":"Shinichi Tamura","orcid":"https://orcid.org/0000-0003-2335-3557"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinichi Tamura","raw_affiliation_strings":["Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Image Analysis, Osaka University Graduate School of Medicine, Suita, 565-0871 Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14898428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"34","issue":"9","first_page":"58","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9818999767303467,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9818999767303467,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9617999792098999,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.8026519417762756},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5420937538146973},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5184073448181152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4828267991542816},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4643791913986206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4449288845062256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3884936273097992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38164979219436646},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.24155262112617493},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1357995569705963}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.8026519417762756},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5420937538146973},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5184073448181152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4828267991542816},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4643791913986206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4449288845062256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3884936273097992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38164979219436646},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24155262112617493},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1357995569705963},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/scj.10222","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.10222","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2031122450","https://openalex.org/W2096320880","https://openalex.org/W4254032348","https://openalex.org/W4298188491"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W1996936972","https://openalex.org/W4283017538","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W2569979269","https://openalex.org/W2075777916","https://openalex.org/W3021699548","https://openalex.org/W4291718021"],"abstract_inverted_index":{"Abstract":[0],"In":[1,138],"the":[2,17,21,25,48,62,66,73,76,82,85,91,98,102,109,115,123,126,129,133,139,143,146,151,179,189,196,199],"discrimination":[3],"of":[4,20,75,84,94,122,125,132,145,178,184,191,198,209],"benign":[5],"and":[6,54,72,101,170,183,204,207],"malignant":[7],"pulmonary":[8],"nodules,":[9],"it":[10],"is":[11,58,79,112,136,156,164],"considered":[12],"very":[13],"important":[14],"to":[15,108,166],"evaluate":[16],"spatial":[18,56,130],"distribution":[19,57,124,131],"line":[22,42,63,78,100,134,192],"structure":[23,135,193],"around":[24],"nodule.":[26],"For":[27],"quantitative":[28],"evaluation,":[29],"a":[30,38,95,119,159],"computer":[31],"must":[32],"be":[33],"used.":[34],"This":[35],"paper":[36],"proposes":[37],"method":[39,163,201],"in":[40,47,65,226],"which":[41],"structures,":[43],"such":[44,187],"as":[45,114,188],"vessels,":[46],"chest":[49],"CT":[50,68],"image":[51,69,180],"are":[52,70,174,202,211],"extracted,":[53,71],"their":[55],"quantitatively":[59],"evaluated.":[60],"First,":[61],"structures":[64],"three\u2010dimensional":[67],"direction":[74,92],"central":[77,99],"estimated":[80],"from":[81,105],"eigenvector":[83],"Hessian":[86],"matrix.":[87],"The":[88,162,176],"angle":[89],"between":[90],"vector":[93,103],"point":[96,107],"on":[97,195],"directed":[104],"that":[106],"nodule":[110,147],"center":[111,148],"defined":[113],"\u201ccentripetal":[116],"angle.\u201d":[117],"By":[118],"statistical":[120],"analysis":[121],"centripetal":[127],"angle,":[128],"estimated.":[137],"proposed":[140,200],"method,":[141],"only":[142],"variation":[144],"can":[149],"affect":[150],"result.":[152],"Consequently,":[153],"stable":[154],"operation":[155],"expected":[157],"with":[158],"simple":[160],"manipulation.":[161],"applied":[165],"20":[167],"clinical":[168],"cases,":[169],"satisfactory":[171],"classification":[172],"results":[173,197],"obtained.":[175],"effects":[177],"reconstruction":[181],"algorithm":[182],"parameter":[185],"values":[186],"threshold":[190],"extraction":[194],"examined,":[203],"its":[205],"robustness":[206],"range":[208],"application":[210],"determined.":[212],"\u00a9":[213],"2003":[214],"Wiley":[215,227],"Periodicals,":[216],"Inc.":[217],"Syst":[218],"Comp":[219],"Jpn,":[220],"34(9):":[221],"58\u201370,":[222],"2003;":[223],"Published":[224],"online":[225],"InterScience":[228],"(":[229],"www.interscience.wiley.com":[230],").":[231],"DOI":[232],"10.1002/scj.10222":[233]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}