{"id":"https://openalex.org/W1999951207","doi":"https://doi.org/10.1117/12.2008129","title":"Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming","display_name":"Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming","publication_year":2013,"publication_date":"2013-03-18","ids":{"openalex":"https://openalex.org/W1999951207","doi":"https://doi.org/10.1117/12.2008129","mag":"1999951207"},"language":"en","primary_location":{"id":"doi:10.1117/12.2008129","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2008129","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5016422241","display_name":"Luan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luan Jiang","raw_affiliation_strings":["Shanghai Advanced Research Institute (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute (China)","institution_ids":["https://openalex.org/I4210111959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030646335","display_name":"Yanyun Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyun Lian","raw_affiliation_strings":["Shanghai Advanced Research Institute (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute (China)","institution_ids":["https://openalex.org/I4210111959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043885388","display_name":"Yajia Gu","orcid":"https://orcid.org/0000-0002-6130-859X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajia Gu","raw_affiliation_strings":["Fudan Univ. Cancer Hospital (China)"],"affiliations":[{"raw_affiliation_string":"Fudan Univ. Cancer Hospital (China)","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430074","display_name":"Qiang Li","orcid":"https://orcid.org/0009-0000-2095-1792"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["Shanghai Advanced Research Institute (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute (China)","institution_ids":["https://openalex.org/I4210111959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016422241"],"corresponding_institution_ids":["https://openalex.org/I4210111959"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68866412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8670","issue":null,"first_page":"86701D","last_page":"86701D"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9984999895095825,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.615037739276886},{"id":"https://openalex.org/keywords/spiral","display_name":"Spiral (railway)","score":0.5871318578720093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830760598182678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5537223219871521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.550645112991333},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47981715202331543},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.46272340416908264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16976609826087952},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1030099093914032}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.615037739276886},{"id":"https://openalex.org/C174128100","wikidata":"https://www.wikidata.org/wiki/Q846907","display_name":"Spiral (railway)","level":2,"score":0.5871318578720093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830760598182678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5537223219871521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.550645112991333},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47981715202331543},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.46272340416908264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16976609826087952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1030099093914032},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2008129","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2008129","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W102444427","https://openalex.org/W1573001140","https://openalex.org/W1975248527","https://openalex.org/W1989867410","https://openalex.org/W1997312479","https://openalex.org/W1999527920","https://openalex.org/W2028457986","https://openalex.org/W2047368428","https://openalex.org/W2073899293","https://openalex.org/W2073927841","https://openalex.org/W2100288220","https://openalex.org/W2112407618","https://openalex.org/W2113203479","https://openalex.org/W2118349592","https://openalex.org/W2133059825","https://openalex.org/W2159248767"],"related_works":["https://openalex.org/W2007206325","https://openalex.org/W588552805","https://openalex.org/W2025535862","https://openalex.org/W2035382027","https://openalex.org/W3126578618","https://openalex.org/W4379231730","https://openalex.org/W2352522949","https://openalex.org/W2357507152","https://openalex.org/W4389858081","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"(MR)":[2],"imaging":[3],"has":[4],"been":[5],"widely":[6],"used":[7,103],"for":[8,70,95,129,228],"risk":[9],"assessment":[10],"and":[11,31,43,64,161,209],"diagnosis":[12,22],"of":[13,36,40,49,58,73,92,108,134,139,179,193,202,213,239],"breast":[14,25,41,51,74,110,141,181,234],"cancer":[15],"in":[16,53,75,142,154,196,235],"clinic.":[17],"To":[18],"develop":[19,63],"a":[20,66,112,210],"computer-aided":[21],"(CAD)":[23],"system,":[24],"segmentation":[26,72,152,178],"is":[27,61],"the":[28,50,54,90,106,125,131,135,140,143,151,155,172,180,189,233],"first":[29],"important":[30],"challenging":[32],"task.":[33],"The":[34,56,137,164],"accuracy":[35],"subsequent":[37],"quantitative":[38],"measurement":[39],"density":[42],"abnormalities":[44],"depends":[45],"on":[46,167,183],"accurate":[47,71,177],"definition":[48],"area":[52],"images.":[55,79],"purpose":[57],"this":[59],"study":[60],"to":[62,85,104,124,149,231],"evaluate":[65],"fully":[67],"automated":[68],"method":[69,82,101,174,230],"three-dimensional":[76],"(3-D)":[77],"MR":[78,157,237],"A":[80,97],"fast":[81],"was":[83,102,122,147],"developed":[84],"identify":[86],"bounding":[87],"box,":[88],"i.e.,":[89],"volume":[91,211],"interest":[93],"(VOI),":[94],"breasts.":[96],"3-D":[98,156],"spiral":[99],"scanning":[100],"transform":[105],"VOI":[107],"each":[109],"into":[111],"single":[113],"two-dimensional":[114],"(2-D)":[115],"generalized":[116],"polar-coordinate":[117],"image.":[118],"Dynamic":[119],"programming":[120],"technique":[121],"applied":[123],"transformed":[126,144],"2-D":[127,145],"image":[128,146],"delineating":[130],"\u201coptimal\u201d":[132],"contour":[133,138],"breast.":[136],"utilized":[148],"reconstruct":[150],"results":[153,166],"images":[158],"using":[159],"interpolation":[160],"lookup":[162],"table.":[163],"preliminary":[165],"17":[168],"cases":[169],"show":[170],"that":[171],"proposed":[173],"can":[175],"obtain":[176],"based":[182],"subjective":[184],"observation.":[185],"By":[186],"comparing":[187],"with":[188],"manually":[190],"delineated":[191],"region":[192],"16":[194],"breasts":[195],"8":[197],"cases,":[198],"an":[199,236],"overlap":[200],"index":[201],"87.6%":[203],"&plusmn;":[204,207,215,218],"3.8%":[205],"(mean":[206,217],"SD),":[208],"agreement":[212],"93.4%":[214],"4.5%":[216],"SD)":[219],"were":[220],"achieved,":[221],"respectively.":[222],"It":[223],"took":[224],"approximately":[225],"3":[226],"minutes":[227],"our":[229],"segment":[232],"scan":[238],"256":[240],"slices.":[241]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
