{"id":"https://openalex.org/W2792278000","doi":"https://doi.org/10.1117/12.2292847","title":"Automated segmentation of cellular images using an effective region force","display_name":"Automated segmentation of cellular images using an effective region force","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2792278000","doi":"https://doi.org/10.1117/12.2292847","mag":"2792278000"},"language":"en","primary_location":{"id":"doi:10.1117/12.2292847","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2292847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","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/A5091068171","display_name":"Khadeejah Mohiuddin","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Khadeejah Mohiuddin","raw_affiliation_strings":["Univ. of Waterloo (Canada)"],"affiliations":[{"raw_affiliation_string":"Univ. of Waterloo (Canada)","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102887139","display_name":"Justin W. L. Wan","orcid":"https://orcid.org/0000-0001-8367-6337"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Justin Wan","raw_affiliation_strings":["Univ. of Waterloo (Canada)"],"affiliations":[{"raw_affiliation_string":"Univ. of Waterloo (Canada)","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091068171"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02053373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"112","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T10862","display_name":"AI in cancer detection","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/pixel","display_name":"Pixel","score":0.7529121041297913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6607658267021179},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6474332213401794},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5845245718955994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803780555725098},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5194882154464722},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5022597312927246},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.48329785466194153},{"id":"https://openalex.org/keywords/random-walker-algorithm","display_name":"Random walker algorithm","score":0.48264533281326294},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47248950600624084},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4560007154941559},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4159095287322998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28269195556640625},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13269078731536865}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7529121041297913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607658267021179},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6474332213401794},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5845245718955994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803780555725098},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5194882154464722},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5022597312927246},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.48329785466194153},{"id":"https://openalex.org/C105045736","wikidata":"https://www.wikidata.org/wiki/Q7292002","display_name":"Random walker algorithm","level":3,"score":0.48264533281326294},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47248950600624084},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4560007154941559},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4159095287322998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28269195556640625},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13269078731536865},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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:10.1117/12.2292847","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2292847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Image Processing","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":24,"referenced_works":["https://openalex.org/W8870360","https://openalex.org/W1492395945","https://openalex.org/W1517289518","https://openalex.org/W1542652324","https://openalex.org/W1556650236","https://openalex.org/W1670555983","https://openalex.org/W1987143830","https://openalex.org/W1993531186","https://openalex.org/W2060945009","https://openalex.org/W2084044727","https://openalex.org/W2116040950","https://openalex.org/W2118075667","https://openalex.org/W2121947440","https://openalex.org/W2123265880","https://openalex.org/W2137788460","https://openalex.org/W2141273399","https://openalex.org/W2152322845","https://openalex.org/W2605215001","https://openalex.org/W6600367688","https://openalex.org/W6629226808","https://openalex.org/W6630714204","https://openalex.org/W6633541889","https://openalex.org/W6682541512","https://openalex.org/W6736359119"],"related_works":["https://openalex.org/W2030649676","https://openalex.org/W1522196789","https://openalex.org/W2560986618","https://openalex.org/W3089080437","https://openalex.org/W1532729815","https://openalex.org/W4236594287","https://openalex.org/W3006903617","https://openalex.org/W2803171412","https://openalex.org/W1484352354","https://openalex.org/W2543781851"],"abstract_inverted_index":{"Understanding":[0],"the":[1,21,91,94,102,146,152,170,197,213],"behaviour":[2],"of":[3,23,29,60,79,115,130,141,148,179,206],"cells":[4,30],"is":[5,74,173],"an":[6,86],"important":[7],"problem":[8],"for":[9,57],"biologists.":[10],"Significant":[11],"research":[12],"has":[13],"been":[14],"done":[15],"to":[16,32,36,39,100,119,162,167],"facilitate":[17],"this":[18,51],"by":[19],"automating":[20],"segmentation":[22,59],"microscopic":[24],"cellular":[25,61],"images.":[26,62,192],"Bright-field":[27],"images":[28,150,161,186],"prove":[31],"be":[33,109],"particularly":[34],"difficult":[35],"segment":[37],"due":[38],"features":[40,210],"such":[41,211],"as":[42,76,111,151,212],"low":[43],"contrast,":[44],"missing":[45],"boundaries":[46],"and":[47,93,187,189,201,218],"broken":[48],"halos.":[49],"In":[50],"paper,":[52],"we":[53,136],"present":[54],"two":[55,103],"algorithms":[56,64,156],"automated":[58],"These":[63],"are":[65,157],"based":[66],"on":[67,159,176],"a":[68,77,80,112,116,120,127,138,177,204],"graph-partitioning":[69],"approach":[70],"where":[71],"each":[72],"pixel":[73,117],"modelled":[75],"node":[78],"weighted":[81],"graph.":[82],"The":[83,193],"method":[84],"combines":[85],"effective":[87],"Region":[88],"Force":[89],"with":[90],"Laplacian":[92],"Total":[95],"Variation":[96],"boundary":[97],"forces,":[98],"respectively,":[99],"give":[101,163],"models.":[104],"This":[105],"region":[106],"force":[107],"can":[108],"interpreted":[110],"conditional":[113],"probability":[114],"belonging":[118],"certain":[121],"class":[122],"(cell":[123],"or":[124],"background)":[125],"given":[126],"small":[128,139],"set":[129,140],"already":[131],"labelled":[132,153],"pixels.":[133],"For":[134],"practicality,":[135],"use":[137],"only":[142],"background":[143],"pixels":[144],"from":[145],"border":[147],"cell":[149,208,214],"set.":[154],"Both":[155],"tested":[158,175],"bright-field":[160],"good":[164],"results.":[165],"Due":[166],"faster":[168],"performance,":[169],"Laplacian-based":[171],"algorithm":[172,198],"also":[174],"variety":[178],"other":[180],"datasets":[181],"including":[182],"fluorescent":[183],"images,":[184],"phase-contrast":[185],"2-":[188],"3-D":[190],"simulated":[191],"results":[194],"show":[195],"that":[196],"performs":[199],"well":[200],"consistently":[202],"across":[203],"range":[205],"various":[207],"image":[209],"shape,":[215],"size,":[216],"contrast":[217],"noise":[219],"levels.":[220]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
