{"id":"https://openalex.org/W2124596388","doi":"https://doi.org/10.1109/isbi.2011.5872831","title":"Cell segmentation in multispectral images using level sets with priors for accurate shape recovery","display_name":"Cell segmentation in multispectral images using level sets with priors for accurate shape recovery","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2124596388","doi":"https://doi.org/10.1109/isbi.2011.5872831","mag":"2124596388"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5008560262","display_name":"Xuqing Wu","orcid":"https://orcid.org/0000-0002-3243-1492"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuqing Wu","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX, USA","Department of Computer Science, University of Houston, TX 77204, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Department of Computer Science, University of Houston, TX 77204, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038747694","display_name":"Shishir K. Shah","orcid":"https://orcid.org/0000-0003-4093-6906"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shishir K. Shah","raw_affiliation_strings":["Department of Computer Science, University of Houston, Houston, TX, USA","Department of Computer Science, University of Houston, TX 77204, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]},{"raw_affiliation_string":"Department of Computer Science, University of Houston, TX 77204, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2117","last_page":"2120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9962000250816345,"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/prior-probability","display_name":"Prior probability","score":0.7874125242233276},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7598981857299805},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7105392813682556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6810184717178345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6320224404335022},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.6273768544197083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6048396229743958},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5763722062110901},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5470708608627319},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4877346456050873},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4355083107948303},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42011070251464844},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09536293148994446}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7874125242233276},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7598981857299805},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7105392813682556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6810184717178345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320224404335022},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.6273768544197083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6048396229743958},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5763722062110901},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5470708608627319},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4877346456050873},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4355083107948303},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42011070251464844},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09536293148994446},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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":17,"referenced_works":["https://openalex.org/W1480873147","https://openalex.org/W1969735849","https://openalex.org/W1992192543","https://openalex.org/W2026931943","https://openalex.org/W2096567921","https://openalex.org/W2100138660","https://openalex.org/W2121927366","https://openalex.org/W2130513366","https://openalex.org/W2147469781","https://openalex.org/W2150176206","https://openalex.org/W2167904694","https://openalex.org/W2171808325","https://openalex.org/W2240478922","https://openalex.org/W6628806528","https://openalex.org/W6679459161","https://openalex.org/W6685334911","https://openalex.org/W7055347736"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2373659438","https://openalex.org/W1879755808","https://openalex.org/W2392905701","https://openalex.org/W4313052709","https://openalex.org/W2986132491","https://openalex.org/W2149987068","https://openalex.org/W2171653019","https://openalex.org/W2186275670","https://openalex.org/W1986638347"],"abstract_inverted_index":{"In":[0,42],"this":[1],"paper,":[2],"we":[3],"demonstrate":[4],"the":[5,47],"effectiveness":[6],"of":[7,49],"using":[8,50,74],"statistical":[9],"shape":[10,14],"priors":[11],"to":[12,53],"recover":[13],"descriptors":[15],"from":[16],"occluded":[17],"objects":[18],"in":[19],"a":[20,55],"level":[21],"set":[22],"based":[23],"variational":[24],"framework.":[25],"Parameters":[26],"that":[27],"balance":[28],"curve":[29],"evolution":[30],"forces":[31],"are":[32],"estimated":[33],"systematically":[34],"through":[35],"embedded":[36],"discrete":[37],"Conditional":[38],"Random":[39],"Field":[40],"(CRF).":[41],"addition,":[43],"our":[44],"approach":[45,67],"exploits":[46],"benefit":[48],"spectral":[51,75],"data":[52],"construct":[54],"local":[56],"appearance":[57],"model":[58],"for":[59],"images":[60],"with":[61],"intensity":[62],"inhomogeneity.":[63],"The":[64],"proposed":[65],"segmentation":[66,82],"is":[68],"evaluated":[69],"on":[70],"cytological":[71],"smears":[72],"imaged":[73],"microscopy":[76],"and":[77],"compared":[78],"against":[79],"traditional":[80],"cell":[81],"algorithms.":[83]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}