{"id":"https://openalex.org/W2130541310","doi":"https://doi.org/10.1109/icip.2007.4379878","title":"Segmentation of Medical Ultrasound Images using Active Contours","display_name":"Segmentation of Medical Ultrasound Images using Active Contours","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2130541310","doi":"https://doi.org/10.1109/icip.2007.4379878","mag":"2130541310"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5060926838","display_name":"Oleg Michailovich","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"funder","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Oleg Michailovich","raw_affiliation_strings":["[Waterloo Univ., Waterloo]"],"affiliations":[{"raw_affiliation_string":"[Waterloo Univ., Waterloo]","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111858265","display_name":"Allen Tannenbaum","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"funder","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Tannenbaum","raw_affiliation_strings":["School of ECE, Georgia Institute of Technology,Atlanta,GA,USA,30332"],"affiliations":[{"raw_affiliation_string":"School of ECE, Georgia Institute of Technology,Atlanta,GA,USA,30332","institution_ids":["https://openalex.org/I130701444"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.443,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":21,"citation_normalized_percentile":{"value":0.833425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997,"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":0.9997,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9967,"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":0.9949,"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/medical-ultrasound","display_name":"Medical ultrasound","score":0.4435922},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.41770288}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.73257107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64774835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6394386},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.58237624},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5539856},{"id":"https://openalex.org/C2992165143","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Medical ultrasound","level":3,"score":0.4435922},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.43069166},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.41770288},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41557294},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13587406},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.123025894}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W2023047661","https://openalex.org/W2039147821","https://openalex.org/W2052544070","https://openalex.org/W2099290282","https://openalex.org/W2109292231","https://openalex.org/W2112667926","https://openalex.org/W2112691218","https://openalex.org/W2116040950","https://openalex.org/W2127186954","https://openalex.org/W2147698142","https://openalex.org/W2147982258","https://openalex.org/W2155728526"],"related_works":["https://openalex.org/W4379141755","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W2368833270","https://openalex.org/W2159463658","https://openalex.org/W2122671082","https://openalex.org/W2110320844","https://openalex.org/W2045772213","https://openalex.org/W1979702773","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,9,30,42,62,85,87,138,147],"medical":[2,88],"ultrasound":[3,89],"images":[4,90,100,114,124],"(e.g.,":[5],"for":[6],"the":[7,23,31,38,83,99,113,122,139],"purpose":[8],"surgical":[10],"or":[11],"radiotherapy":[12],"planning)":[13],"is":[14,91,142],"known":[15],"to":[16,22,37,56,82,97,105],"be":[17,57,126],"a":[18,73,79,106,145],"difficult":[19],"task":[20],"due":[21,36],"relatively":[24,63,130],"low":[25],"resolution":[26],"and":[27,40,132,151],"reduced":[28],"contrast":[29],"images,":[32],"as":[33,35],"well":[34],"discontinuity":[39],"uncertainty":[41],"segmentation":[43,53,86,107],"boundaries":[44],"caused":[45],"by":[46,60,129],"speckle":[47],"noise.":[48],"Under":[49],"such":[50],"conditions,":[51],"useful":[52],"results":[54],"seem":[55],"only":[58],"achievable":[59],"means":[61],"complex":[64],"algorithms,":[65],"which":[66],"are":[67,103],"usually":[68],"computationally":[69,133],"involved":[70],"and/or":[71],"require":[72],"prior":[74],"learning.":[75],"In":[76,93],"this":[77],"paper,":[78],"different":[80],"approach":[81],"problem":[84],"proposed.":[92],"particular,":[94],"we":[95],"propose":[96],"preprocess":[98],"before":[101],"they":[102],"subjected":[104],"procedure.":[108],"The":[109,136],"proposed":[110,140],"preprocessing":[111],"modifies":[112],"(without":[115],"affecting":[116],"their":[117],"anatomic":[118],"contents)":[119],"so":[120],"that":[121],"resulting":[123],"can":[125],"effectively":[127],"segmented":[128],"simple":[131],"efficient":[134],"means.":[135],"performance":[137],"method":[141],"tested":[143],"in":[144,149,152],"series":[146],"both":[148],"silico":[150],"vivo":[153],"experiments.":[154]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2130541310","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-04-19T02:13:02.386129","created_date":"2016-06-24"}