{"id":"https://openalex.org/W1972228177","doi":"https://doi.org/10.1117/1.2178776","title":"Segmentation and classification of dynamic breast magnetic resonance image data","display_name":"Segmentation and classification of dynamic breast magnetic resonance image data","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1972228177","doi":"https://doi.org/10.1117/1.2178776","mag":"1972228177"},"language":"en","primary_location":{"id":"doi:10.1117/1.2178776","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2178776","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"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":"Journal of Electronic Imaging","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":null,"display_name":"Anke Meyer-B\u00e4se","orcid":null},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Anke Meyer-B\u00e4se","raw_affiliation_strings":["Florida State Univ. (United States)","Florida State University, Department of Electrical and Computer Engineering, Tallahassee, Florida 32310-6046  and Ludwig-Maximilians University, Department of Clinical Radiology, Munich 80336, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida State Univ. (United States)","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Florida State University, Department of Electrical and Computer Engineering, Tallahassee, Florida 32310-6046  and Ludwig-Maximilians University, Department of Clinical Radiology, Munich 80336, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103163165","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":1.3108,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.79787325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"013020","last_page":"013020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9958000183105469,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9876999855041504,"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":0.7064050436019897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6867098808288574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6405868530273438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6261563301086426},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.602205753326416},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5711402297019958},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.521047055721283},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.501396656036377},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.49752143025398254},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44092410802841187},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.43321162462234497},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4155166745185852},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3932883143424988},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.32317420840263367},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1413898468017578},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.14120551943778992},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09839323163032532}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7064050436019897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6867098808288574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6405868530273438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6261563301086426},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.602205753326416},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5711402297019958},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.521047055721283},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.501396656036377},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.49752143025398254},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44092410802841187},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.43321162462234497},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4155166745185852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3932883143424988},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.32317420840263367},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1413898468017578},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.14120551943778992},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09839323163032532},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.2178776","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2178776","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"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":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W608828860","https://openalex.org/W1507544250","https://openalex.org/W1977495133","https://openalex.org/W1984113519","https://openalex.org/W1990005524","https://openalex.org/W1992196620","https://openalex.org/W2003555899","https://openalex.org/W2015344827","https://openalex.org/W2023806788","https://openalex.org/W2074225934","https://openalex.org/W2106375370","https://openalex.org/W2130880307","https://openalex.org/W2147029453","https://openalex.org/W2147415913"],"related_works":["https://openalex.org/W2100968651","https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072"],"abstract_inverted_index":{"An":[0],"application":[1],"of":[2,21,36,41,56,63,74,82,98,112,121,139,185,193],"an":[3],"unsupervised":[4],"self-organizing":[5],"neural":[6,13,153,175],"network\u2014the":[7],"minimal":[8,148,170],"free":[9,149,171],"energy":[10,150,172],"vector":[11,151,173],"quantization":[12,152,174],"network\u2014is":[14],"reported":[15],"for":[16,109,117],"the":[17,34,110,118,129,136,147,157,169,178,182],"detection":[18],"and":[19,38,66,78,95,142,155],"characterization":[20],"breast":[22,100,125],"lesions":[23,123],"in":[24,124,156],"dynamic":[25,42],"contrast-enhanced":[26],"magnetic":[27],"resonance":[28],"imaging":[29],"(MRI).":[30],"This":[31],"technique":[32],"enables":[33],"extraction":[35],"spatial":[37],"temporal":[39],"features":[40],"MRI":[43,186],"data":[44],"stemming":[45],"from":[46,128],"patients":[47],"with":[48,91],"confirmed":[49],"lesion":[50],"diagnosis.":[51],"By":[52],"revealing":[53],"regional":[54,96],"properties":[55],"contrast-agent":[57],"uptake,":[58],"characterized":[59],"by":[60,134,160,188],"subtle":[61],"differences":[62],"signal":[64,113],"amplitude":[65],"dynamics,":[67],"this":[68],"method":[69],"provides":[70,88],"both":[71],"a":[72,79,89],"set":[73,81],"prototypical":[75],"time":[76,115],"series":[77],"corresponding":[80],"cluster":[83,143],"assignment":[84],"maps,":[85],"which":[86],"further":[87],"segmentation":[90,107,141],"regard":[92],"to":[93,180],"identification":[94],"subclassification":[97],"pathological":[99],"tissue":[101],"lesions.":[102],"We":[103],"present":[104],"three":[105],"different":[106],"methods":[108],"evaluation":[111],"intensity":[114],"courses":[116],"differential":[119],"diagnosis":[120],"enhancing":[122],"MRI.":[126],"Starting":[127],"conventional":[130],"methodology,":[131],"we":[132],"proceed":[133],"introducing":[135],"separate":[137],"concepts":[138],"threshold":[140],"analysis":[144],"based":[145],"on":[146],"network,":[154],"last":[158],"step":[159],"combining":[161],"those":[162],"two":[163],"concepts.":[164],"The":[165],"results":[166],"suggest":[167],"that":[168],"network":[176],"has":[177],"potential":[179],"increase":[181],"diagnostic":[183],"accuracy":[184],"mammography":[187],"improving":[189],"sensitivity":[190],"without":[191],"reduction":[192],"specificity.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
