{"id":"https://openalex.org/W2098610542","doi":"https://doi.org/10.1109/cit.2004.1357188","title":"An efficient statistical method for segmentation of single-channel brain MRI","display_name":"An efficient statistical method for segmentation of single-channel brain MRI","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2098610542","doi":"https://doi.org/10.1109/cit.2004.1357188","mag":"2098610542"},"language":"en","primary_location":{"id":"doi:10.1109/cit.2004.1357188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2004.1357188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Conference onComputer and Information Technology, 2004. CIT '04.","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/A5111595030","display_name":"Yong Yang","orcid":"https://orcid.org/0000-0001-9467-0942"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi''an Jiaotong University, Xi'an, China","Inst. of Biomed. Eng., Xi''an Jiaotong Univ., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Inst. of Biomed. Eng., Xi''an Jiaotong Univ., China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689959","display_name":"Pan Lin","orcid":"https://orcid.org/0000-0001-7473-905X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Lin","raw_affiliation_strings":["Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi''an Jiaotong University, Xi'an, China","Inst. of Biomed. Eng., Xi''an Jiaotong Univ., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Inst. of Biomed. Eng., Xi''an Jiaotong Univ., China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100524984","display_name":"Chong-Xun Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongxun Zheng","raw_affiliation_strings":["Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi''an Jiaotong University, Xi'an, China","Inst. of Biomed. Eng., Xi''an Jiaotong Univ., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Inst. of Biomed. Eng., Xi''an Jiaotong Univ., China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"b39","issue":null,"first_page":"149","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9950000047683716,"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":0.9950000047683716,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/segmentation","display_name":"Segmentation","score":0.767093300819397},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.7453293800354004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013298869132996},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6999236345291138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6087139844894409},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6070234179496765},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5773708820343018},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5738670825958252},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5566215515136719},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.478034108877182},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.454984575510025},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4276214838027954},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.42007002234458923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.395150363445282},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2944532632827759},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25049930810928345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20284679532051086},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11344954371452332},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07936081290245056}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.767093300819397},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.7453293800354004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013298869132996},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6999236345291138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087139844894409},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6070234179496765},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5773708820343018},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5738670825958252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5566215515136719},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.478034108877182},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.454984575510025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4276214838027954},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.42007002234458923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.395150363445282},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2944532632827759},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25049930810928345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20284679532051086},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11344954371452332},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07936081290245056},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cit.2004.1357188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2004.1357188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fourth International Conference onComputer and Information Technology, 2004. CIT '04.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1800788543","https://openalex.org/W2049633694","https://openalex.org/W2076608722","https://openalex.org/W2099801199","https://openalex.org/W2107920575","https://openalex.org/W2113076747","https://openalex.org/W2137676365","https://openalex.org/W2157308394","https://openalex.org/W2159965356","https://openalex.org/W2162630772","https://openalex.org/W2171493089","https://openalex.org/W3102998284","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W62490179","https://openalex.org/W1976188970","https://openalex.org/W2889559465","https://openalex.org/W2990541822"],"abstract_inverted_index":{"Expectation":[0],"maximization":[1,55],"(EM)":[2],"algorithm":[3,28,57,80],"has":[4],"been":[5],"used":[6,87],"widely":[7],"for":[8,67,93],"calculating":[9],"the":[10,16,37,70,78,82,90,94,99,119,127],"maximum":[11],"likelihood":[12],"(ML)":[13],"parameters":[14],"in":[15,40,60],"statistical":[17,51],"segmentation":[18,38,68],"of":[19,69,98,107],"brain":[20,72],"magnetic":[21],"resonance":[22],"(MR)":[23],"images.":[24],"Since":[25],"standard":[26],"EM":[27],"is":[29,58,65,86,103,122],"time":[30,129],"and":[31,81,124,130],"computer":[32,131],"memory":[33,132],"consuming,":[34],"which":[35,85],"makes":[36],"impractical":[39],"many":[41],"real-world":[42],"situations.":[43],"In":[44],"order":[45],"to":[46,88],"overcome":[47],"this,":[48],"a":[49],"novel":[50],"histogram":[52],"based":[53,101],"expectation":[54],"(SHEM)":[56],"presented":[59],"this":[61],"paper.":[62],"The":[63,96,114],"method":[64,102,121],"developed":[66],"single-channel":[71],"MR":[73],"image":[74],"data":[75],"by":[76],"combining":[77],"SHEM":[79,100],"region-growing":[83],"algorithm,":[84],"provide":[89],"priori":[91],"knowledge":[92],"segmentation.":[95,113],"performance":[97],"compared":[104],"with":[105],"that":[106,118],"popular":[108],"applied":[109],"fuzzy":[110],"c-means":[111],"(FCM)":[112],"experimental":[115],"results":[116],"show":[117],"proposed":[120],"robust":[123],"can":[125],"reduce":[126],"computing":[128],"largely.":[133]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
