{"id":"https://openalex.org/W2155900234","doi":"https://doi.org/10.1109/isbi.2002.1029442","title":"Performance analysis for Bayesian microwave imaging in decision aided breast tumor diagnosis","display_name":"Performance analysis for Bayesian microwave imaging in decision aided breast tumor diagnosis","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2155900234","doi":"https://doi.org/10.1109/isbi.2002.1029442","mag":"2155900234"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2002.1029442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2002.1029442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE International Symposium on Biomedical Imaging","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070231566","display_name":"Liewei Sha","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liewei Sha","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Duke University, Durham, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039277245","display_name":"L. W. Nolte","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L.W. Nolte","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Duke University, Durham, NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001067939","display_name":"Zhong Qing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong Qing Zhang","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100345153","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0001-5286-4423"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Q.H. Liu","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":null,"first_page":"1039","last_page":"1042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.7159428596496582},{"id":"https://openalex.org/keywords/microwave-imaging","display_name":"Microwave imaging","score":0.6943269371986389},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6606358289718628},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6472411751747131},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5761926770210266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5324540734291077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4484163522720337},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.44731271266937256},{"id":"https://openalex.org/keywords/permittivity","display_name":"Permittivity","score":0.43524807691574097},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.42716124653816223},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4220530390739441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3979765772819519},{"id":"https://openalex.org/keywords/microwave","display_name":"Microwave","score":0.31019240617752075},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2934306263923645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2400743067264557},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.17098897695541382},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1700291931629181},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.16999483108520508},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16966718435287476}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.7159428596496582},{"id":"https://openalex.org/C2779885931","wikidata":"https://www.wikidata.org/wiki/Q17010029","display_name":"Microwave imaging","level":3,"score":0.6943269371986389},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6606358289718628},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6472411751747131},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5761926770210266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5324540734291077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4484163522720337},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.44731271266937256},{"id":"https://openalex.org/C168651791","wikidata":"https://www.wikidata.org/wiki/Q211569","display_name":"Permittivity","level":3,"score":0.43524807691574097},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42716124653816223},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4220530390739441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3979765772819519},{"id":"https://openalex.org/C44838205","wikidata":"https://www.wikidata.org/wiki/Q127995","display_name":"Microwave","level":2,"score":0.31019240617752075},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2934306263923645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2400743067264557},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.17098897695541382},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1700291931629181},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.16999483108520508},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16966718435287476},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C133386390","wikidata":"https://www.wikidata.org/wiki/Q184996","display_name":"Dielectric","level":2,"score":0.0},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2002.1029442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2002.1029442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings IEEE International Symposium on Biomedical Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1507028917","https://openalex.org/W1975532863","https://openalex.org/W1983322501","https://openalex.org/W2020465885","https://openalex.org/W2069876697","https://openalex.org/W2073927147","https://openalex.org/W2109289112","https://openalex.org/W2117929148","https://openalex.org/W2141237838","https://openalex.org/W2150274370","https://openalex.org/W2158380269","https://openalex.org/W2164710647","https://openalex.org/W4249000652","https://openalex.org/W6667855465","https://openalex.org/W6682997386"],"related_works":["https://openalex.org/W2097090565","https://openalex.org/W2008444830","https://openalex.org/W2804375118","https://openalex.org/W2112506753","https://openalex.org/W2029809897","https://openalex.org/W2132110568","https://openalex.org/W2160831725","https://openalex.org/W1495937069","https://openalex.org/W1522441193","https://openalex.org/W2180905035"],"abstract_inverted_index":{"The":[0],"Markov":[1],"random":[2,29],"field":[3,30,44],"is":[4],"used":[5],"to":[6,26,51,81,89,96],"model":[7],"the":[8,21,28,32,53,60,74,78,84,91,100,104],"breast":[9],"permittivity":[10,106],"cross":[11],"section":[12],"as":[13,87],"a":[14,36,61],"propagating":[15],"medium,":[16],"and":[17,59,98],"incorporate":[18],"it":[19],"into":[20],"forward":[22],"electromagnetic":[23],"(EM)":[24],"propagation":[25],"predict":[27],"of":[31,39,65,76],"EM":[33,43],"measurements":[34],"at":[35],"received":[37],"array":[38],"sensors.":[40],"Given":[41],"these":[42],"measurements,":[45],"Bayesian":[46,79,92],"approaches":[47,95],"are":[48],"then":[49],"developed":[50],"compute":[52],"likelihood":[54],"ratio":[55],"for":[56],"tumor":[57,66,101],"detection":[58],"posteriori":[62],"probability":[63],"display":[64],"localization.":[67],"Quantitative":[68],"performance":[69],"evaluations":[70],"using":[71,77,90],"simulations":[72],"demonstrate":[73],"advantage":[75],"approach":[80],"directly":[82],"process":[83],"measurement":[85],"data":[86],"compared":[88],"or":[93],"threshold":[94],"detect":[97],"localize":[99],"based":[102],"on":[103],"reconstructed":[105],"image.":[107]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}