{"id":"https://openalex.org/W3133959845","doi":"https://doi.org/10.4018/jitr.2021040103","title":"Content-Based Medical Image Retrieval Using Delaunay Triangulation Segmentation Technique","display_name":"Content-Based Medical Image Retrieval Using Delaunay Triangulation Segmentation Technique","publication_year":2021,"publication_date":"2021-03-08","ids":{"openalex":"https://openalex.org/W3133959845","doi":"https://doi.org/10.4018/jitr.2021040103","mag":"3133959845"},"language":"en","primary_location":{"id":"doi:10.4018/jitr.2021040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jitr.2021040103","pdf_url":null,"source":{"id":"https://openalex.org/S138592535","display_name":"Journal of Information Technology Research","issn_l":"1938-7857","issn":["1938-7857","1938-7865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Technology Research","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/A5046094361","display_name":"Sneha Kugunavar","orcid":"https://orcid.org/0000-0002-9715-0587"},"institutions":[{"id":"https://openalex.org/I178319760","display_name":"Kuvempu University","ror":"https://ror.org/014arsg56","country_code":"IN","type":"education","lineage":["https://openalex.org/I178319760"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sneha Kugunavar","raw_affiliation_strings":["Department of P. G. Studies and Research in Computer Science, Kuvempu University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of P. G. Studies and Research in Computer Science, Kuvempu University, India","institution_ids":["https://openalex.org/I178319760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006009590","display_name":"C. J. Prabhakar","orcid":null},"institutions":[{"id":"https://openalex.org/I178319760","display_name":"Kuvempu University","ror":"https://ror.org/014arsg56","country_code":"IN","type":"education","lineage":["https://openalex.org/I178319760"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prabhakar C. J.","raw_affiliation_strings":["Department of P. G. Studies and Research in Computer Science, Kuvempu University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of P. G. Studies and Research in Computer Science, Kuvempu University, India","institution_ids":["https://openalex.org/I178319760"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178319760"],"apc_list":null,"apc_paid":null,"fwci":1.1644,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80072884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"14","issue":"2","first_page":"48","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9904999732971191,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.788899302482605},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.7302233576774597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704831600189209},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6036286354064941},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5776212215423584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.57225501537323},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45866385102272034},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4564712941646576},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45403099060058594},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.44562190771102905},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4158664345741272},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4148150384426117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26076358556747437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06661462783813477}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.788899302482605},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.7302233576774597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704831600189209},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6036286354064941},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5776212215423584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.57225501537323},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45866385102272034},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4564712941646576},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45403099060058594},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.44562190771102905},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4158664345741272},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4148150384426117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26076358556747437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06661462783813477}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/jitr.2021040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jitr.2021040103","pdf_url":null,"source":{"id":"https://openalex.org/S138592535","display_name":"Journal of Information Technology Research","issn_l":"1938-7857","issn":["1938-7857","1938-7865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Technology Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1987167927","https://openalex.org/W1999340585","https://openalex.org/W2000551170","https://openalex.org/W2009974611","https://openalex.org/W2021928864","https://openalex.org/W2043038208","https://openalex.org/W2052271957","https://openalex.org/W2054209169","https://openalex.org/W2067018786","https://openalex.org/W2067681708","https://openalex.org/W2093447882","https://openalex.org/W2094794667","https://openalex.org/W2105026917","https://openalex.org/W2113180829","https://openalex.org/W2117815663","https://openalex.org/W2133126147","https://openalex.org/W2155662634","https://openalex.org/W2159498975","https://openalex.org/W2163352848","https://openalex.org/W2165558579","https://openalex.org/W2167000802","https://openalex.org/W2295250154","https://openalex.org/W2346254524","https://openalex.org/W2473341269","https://openalex.org/W2521176774","https://openalex.org/W2547500706","https://openalex.org/W2568740995","https://openalex.org/W2768980250","https://openalex.org/W2809100664"],"related_works":["https://openalex.org/W2106653363","https://openalex.org/W2960611766","https://openalex.org/W2416959398","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2905186525","https://openalex.org/W2900811989","https://openalex.org/W2031096531","https://openalex.org/W3201443322","https://openalex.org/W2131457589"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3],"novel":[4,54,66],"technique":[5,25,31],"for":[6,91,120],"retrieval":[7,23,121,154,157],"of":[8,14,43,64,76,94,122,135,153],"lung":[9,40,61,124,136],"images":[10],"from":[11,45,58,68],"the":[12,46,59,69,74,79,92,97,114,144],"collection":[13],"medical":[15,21,48],"CT":[16,137],"images.":[17,125,138],"The":[18,50,105,126,139],"proposed":[19,51,127,145],"content-based":[20],"image":[22,29],"(CBMIR)":[24],"uses":[26],"an":[27],"automated":[28],"segmentation":[30],"called":[32],"Delaunay":[33],"triangulation":[34],"(DT)":[35],"in":[36,151],"order":[37],"to":[38,112],"segment":[39],"organ":[41],"(region":[42],"interest)":[44],"original":[47,71],"image.":[49,72],"method":[52,128],"extracts":[53],"and":[55,86,90,107,156],"discriminant":[56],"features":[57,67,109],"segmented":[60],"region":[62],"instead":[63],"extracting":[65],"whole":[70],"For":[73],"extraction":[75,93],"shape":[77,106],"features,":[78,96],"authors":[80,98],"employ":[81],"edge":[82],"histogram":[83],"descriptor":[84],"(EHD)":[85],"geometric":[87],"moments":[88],"(GM),":[89],"texture":[95,108],"use":[99],"gray-level":[100],"co-occurrence":[101],"matrix":[102],"(GLCM)":[103],"technique.":[104],"are":[110],"combined":[111],"form":[113],"hybrid":[115],"feature":[116],"which":[117],"is":[118,129],"used":[119],"similar":[123],"evaluated":[130],"using":[131],"two":[132],"benchmark":[133],"datasets":[134],"simulation":[140],"results":[141],"prove":[142],"that":[143],"CBMIR":[146],"framework":[147],"shows":[148],"improved":[149],"performance":[150],"terms":[152],"accuracy":[155],"time.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}