{"id":"https://openalex.org/W2110002016","doi":"https://doi.org/10.1109/isbi.2004.1398743","title":"Detection of bronchovascular pairs on HRCT lung images through relational learning","display_name":"Detection of bronchovascular pairs on HRCT lung images through relational learning","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W2110002016","doi":"https://doi.org/10.1109/isbi.2004.1398743","mag":"2110002016"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2004.1398743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2004.1398743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821)","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/A5110744613","display_name":"Mithun Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"M.N. Prasad","raw_affiliation_strings":["School of Computer Science and Engineering, Department of Statistics, School of Mathematics, University of New South Wales, NSW, Australia","Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Department of Statistics, School of Mathematics, University of New South Wales, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055952724","display_name":"Arcot Sowmya","orcid":"https://orcid.org/0000-0001-9236-5063"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. Sowmya","raw_affiliation_strings":["School of Computer Science and Engineering, Department of Statistics, School of Mathematics, University of New South Wales, NSW, Australia","Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Department of Statistics, School of Mathematics, University of New South Wales, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110744613"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":2.6325,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9078174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1135","last_page":"1138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9846000075340271,"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/T10028","display_name":"Topic Modeling","score":0.9846000075340271,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.982200026512146,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9763000011444092,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7303276062011719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6008605360984802},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5117830634117126},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.44085898995399475},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3482017517089844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303276062011719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6008605360984802},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5117830634117126},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.44085898995399475},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3482017517089844},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2004.1398743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2004.1398743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.46000000834465027},{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W39499675","https://openalex.org/W1596574250","https://openalex.org/W1978094256","https://openalex.org/W1996773532","https://openalex.org/W1999138184","https://openalex.org/W2007567313","https://openalex.org/W2026311529","https://openalex.org/W2028397379","https://openalex.org/W2065747819","https://openalex.org/W2101975343","https://openalex.org/W2110104002","https://openalex.org/W2120085308","https://openalex.org/W2187164964","https://openalex.org/W6601575498","https://openalex.org/W6635794217"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W3192589309"],"abstract_inverted_index":{"The":[0,91],"identification":[1],"of":[2,23,53,62,70,111],"bronchovascular":[3,25,54,72],"pairs":[4,73],"on":[5,40,45,95],"high":[6],"resolution":[7],"computer":[8],"tomography":[9],"(HRCT)":[10],"images":[11,97],"provides":[12],"valuable":[13],"diagnostic":[14],"information":[15],"in":[16,113],"patients":[17],"with":[18,108],"suspected":[19],"airway":[20],"diseases.":[21],"Classification":[22],"a":[24,33,36,85],"pair":[26],"primarily":[27],"formed":[28],"by":[29],"two":[30],"structures,":[31],"namely":[32],"bronchus":[34],"and":[35,64,79,102],"vessel,":[37],"is":[38],"based":[39,44],"relations.":[41],"Therefore,":[42],"classifications":[43],"simple":[46],"attributes":[47],"are":[48,74],"insufficient":[49],"for":[50,81],"the":[51,99,109],"recognition":[52],"pairs.":[55],"To":[56],"address":[57],"this,":[58],"we":[59],"make":[60],"use":[61],"relations":[63],"inductive":[65],"learning":[66,82,89],"from":[67],"examples.":[68],"Relations":[69],"potential":[71],"extracted":[75],"using":[76,98],"image":[77],"analysis":[78],"used":[80],"within":[83],"FOIL,":[84],"first":[86],"order":[87],"relational":[88],"system.":[90],"system":[92],"was":[93,105],"tested":[94],"47":[96],"learned":[100],"classifier":[101],"its":[103],"performance":[104],"visually":[106],"validated":[107],"help":[110],"radiologists":[112],"our":[114],"team.":[115]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
