{"id":"https://openalex.org/W1982726887","doi":"https://doi.org/10.1117/12.2008138","title":"A shape constrained MAP-EM algorithm for colorectal segmentation","display_name":"A shape constrained MAP-EM algorithm for colorectal segmentation","publication_year":2013,"publication_date":"2013-02-28","ids":{"openalex":"https://openalex.org/W1982726887","doi":"https://doi.org/10.1117/12.2008138","mag":"1982726887"},"language":"en","primary_location":{"id":"doi:10.1117/12.2008138","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2008138","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/A5100628383","display_name":"Huafeng Wang","orcid":"https://orcid.org/0000-0002-8267-672X"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Huafeng Wang","raw_affiliation_strings":["Beihang Univ. (China)","Stony Brook Univ., SUNY (United States)"],"affiliations":[{"raw_affiliation_string":"Beihang Univ. (China)","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Stony Brook Univ., SUNY (United States)","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711454","display_name":"Lihong Li","orcid":"https://orcid.org/0000-0002-5440-8242"},"institutions":[{"id":"https://openalex.org/I142393192","display_name":"College of Staten Island","ror":"https://ror.org/02p179j44","country_code":"US","type":"education","lineage":["https://openalex.org/I142393192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lihong Li","raw_affiliation_strings":["College of Staten Island, SUNY (United States)"],"affiliations":[{"raw_affiliation_string":"College of Staten Island, SUNY (United States)","institution_ids":["https://openalex.org/I142393192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018527188","display_name":"Bowen Song","orcid":"https://orcid.org/0000-0002-8586-0573"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bowen Song","raw_affiliation_strings":["Stony Brook Univ., SUNY (United States)","Stony Brook University (SUNY), United States#TAB#"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ., SUNY (United States)","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University (SUNY), United States#TAB#","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101774760","display_name":"Fangfang Han","orcid":"https://orcid.org/0000-0002-9299-0915"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangfang Han","raw_affiliation_strings":["Stony Brook Univ., SUNY (United States)","Stony Brook University (SUNY), United States#TAB#"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ., SUNY (United States)","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University (SUNY), United States#TAB#","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110322946","display_name":"Zhengrong Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengrong Liang","raw_affiliation_strings":["Stony Brook Univ., SUNY (United States)","Stony Brook University (SUNY), United States#TAB#"],"affiliations":[{"raw_affiliation_string":"Stony Brook Univ., SUNY (United States)","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University (SUNY), United States#TAB#","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100628383"],"corresponding_institution_ids":["https://openalex.org/I59553526","https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.4622,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65134947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"8670","issue":null,"first_page":"86702F","last_page":"86702F"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.995199978351593,"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":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7533727884292603},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6710233688354492},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6369696855545044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5929780602455139},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5903242230415344},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5745402574539185},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.571792483329773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5419834852218628},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5364665985107422},{"id":"https://openalex.org/keywords/partial-volume","display_name":"Partial volume","score":0.44978415966033936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44122201204299927},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4232827126979828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39214563369750977},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.20739370584487915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1691281497478485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533727884292603},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6710233688354492},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6369696855545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5929780602455139},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5903242230415344},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5745402574539185},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.571792483329773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5419834852218628},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5364665985107422},{"id":"https://openalex.org/C82233179","wikidata":"https://www.wikidata.org/wiki/Q2054500","display_name":"Partial volume","level":2,"score":0.44978415966033936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44122201204299927},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4232827126979828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39214563369750977},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.20739370584487915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1691281497478485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2008138","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2008138","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2548879779","https://openalex.org/W2123504639","https://openalex.org/W1974552622","https://openalex.org/W2112680138","https://openalex.org/W1523596590","https://openalex.org/W2740467121","https://openalex.org/W1982726887","https://openalex.org/W1998172750","https://openalex.org/W1964500862"],"abstract_inverted_index":{"The":[0,20,49],"task":[1,51],"of":[2,14,52,63,100],"effectively":[3],"segmenting":[4],"colon":[5,25,73,163],"areas":[6],"in":[7,16,27,37,44,67,91,115],"CT":[8],"images":[9],"is":[10,33,177],"an":[11,28,116,173],"important":[12],"area":[13],"interest":[15],"medical":[17],"imaging":[18],"field.":[19],"ability":[21,56],"to":[22,57,144,161,179],"distinguish":[23],"the":[24,31,55,87,95,101,124,127,145,150,162,167,191,196],"wall":[26,74],"image":[29],"from":[30],"background":[32],"a":[34,68,82,110,137,141],"critical":[35],"step":[36],"several":[38],"approaches":[39],"for":[40],"achieving":[41],"larger":[42],"goals":[43],"automated":[45],"computer-aided":[46],"diagnosis":[47],"(CAD).":[48],"related":[50],"polyp":[53],"detection,":[54],"determine":[58],"which":[59,158,176],"objects":[60],"or":[61],"classes":[62],"polyps":[64],"are":[65],"present":[66,172],"scene,":[69],"also":[70,159],"relies":[71],"on":[72,123],"segmentation.":[75],"When":[76],"modeling":[77],"each":[78,92],"tissue":[79,88,103,138],"type":[80],"as":[81],"conditionally":[83],"independent":[84],"Gaussian":[85],"distribution,":[86],"mixture":[89,139],"fractions":[90],"voxel":[93],"via":[94],"modeled":[96],"unobservable":[97],"random":[98],"processes":[99],"underlying":[102],"types":[104],"can":[105,194],"be":[106,133],"estimated":[107],"by":[108,136],"maximum":[109],"posteriori":[111],"expectation-maximization":[112],"(MAP-EM)":[113],"algorithm":[114,152,175],"iterative":[117],"manner.":[118],"This":[119],"paper":[120],"presents,":[121],"based":[122],"assumption":[125],"that":[126,190],"partial":[128],"volume":[129],"effect":[130],"(PVE)":[131],"could":[132],"fully":[134],"described":[135],"model,":[140,170],"theoretical":[142],"solution":[143],"MAP-EM":[146,151,209],"segmentation":[147],"algorithm.":[148,210],"However,":[149],"may":[153],"miss":[154],"some":[155],"small":[156],"regions":[157,182],"belong":[160],"wall.":[164],"Combining":[165],"with":[166],"shape":[168],"constrained":[169],"we":[171],"improved":[174],"able":[178],"merge":[180],"similar":[181],"and":[183,199],"reserve":[184],"fine":[185],"structures.":[186],"Experiment":[187],"results":[188,202],"show":[189],"new":[192],"approach":[193],"refine":[195],"jagged-like":[197],"boundaries":[198],"achieve":[200],"better":[201],"than":[203],"merely":[204],"exploited":[205],"our":[206],"previously":[207],"presented":[208]},"counts_by_year":[{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}