{"id":"https://openalex.org/W2242249279","doi":"https://doi.org/10.1109/dicta.2015.7371219","title":"A New Model for the Segmentation of Multiple, Overlapping, Near-Circular Objects","display_name":"A New Model for the Segmentation of Multiple, Overlapping, Near-Circular Objects","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2242249279","doi":"https://doi.org/10.1109/dicta.2015.7371219","mag":"2242249279"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2015.7371219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5021390247","display_name":"Csaba Moln\u00e1r","orcid":"https://orcid.org/0000-0002-6124-1209"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Csaba Molnar","raw_affiliation_strings":["Institute of Informatics, University of Szeged, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics, University of Szeged, Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069412117","display_name":"Zolt\u00e1n Kat\u00f3","orcid":"https://orcid.org/0000-0002-9328-4254"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]},{"id":"https://openalex.org/I216306336","display_name":"Selye J\u00e1nos University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["HU","SK"],"is_corresponding":false,"raw_author_name":"Zoltan Kato","raw_affiliation_strings":["Department of Mathematics and Informatics, J. Selye University, Komarno, Slovakia","Institute of Informatics, University of Szeged, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Informatics, J. Selye University, Komarno, Slovakia","institution_ids":["https://openalex.org/I216306336"]},{"raw_affiliation_string":"Institute of Informatics, University of Szeged, Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060165491","display_name":"Ian H. Jermyn","orcid":"https://orcid.org/0000-0002-6546-6173"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian H. Jermyn","raw_affiliation_strings":["Department of Mathematical Sciences, Durham University, Durham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Durham University, Durham, United Kingdom","institution_ids":["https://openalex.org/I190082696"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021390247"],"corresponding_institution_ids":["https://openalex.org/I227486990"],"apc_list":null,"apc_paid":null,"fwci":0.7981,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84236423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9947999715805054,"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":0.9947999715805054,"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/T10379","display_name":"Cellular Mechanics and Interactions","score":0.9114999771118164,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.727480947971344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6960955262184143},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.641974925994873},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.616476833820343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6130424737930298},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5930800437927246},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5787402391433716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5510021448135376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46925804018974304},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46493691205978394},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.450131356716156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2986345887184143},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07648670673370361}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.727480947971344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6960955262184143},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.641974925994873},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.616476833820343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6130424737930298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5930800437927246},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5787402391433716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5510021448135376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46925804018974304},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46493691205978394},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.450131356716156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2986345887184143},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07648670673370361},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2015.7371219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1480873147","https://openalex.org/W1486930673","https://openalex.org/W1506879382","https://openalex.org/W1555921199","https://openalex.org/W1597233484","https://openalex.org/W1979363725","https://openalex.org/W2093258721","https://openalex.org/W2105392152","https://openalex.org/W2107554012","https://openalex.org/W2112463647","https://openalex.org/W2114781277","https://openalex.org/W2136224190","https://openalex.org/W2147427282","https://openalex.org/W2166428897","https://openalex.org/W2167338900","https://openalex.org/W6635668891"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W2898210368","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Some":[0],"of":[1,12,26,34,38,59,61,69,83,95,121,124,139,157,177],"the":[2,21,36,39,42,50,57,67,81,84,93,106,136,158,166],"most":[3],"difficult":[4],"image":[5,52,140],"segmentation":[6,82],"problems":[7],"involve":[8],"an":[9,31,162],"unknown":[10],"number":[11,123],"object":[13,130,159],"instances":[14,160],"that":[15,46,117],"can":[16],"touch":[17],"or":[18,73,127],"overlap":[19],"in":[20,28,65,86,142,161],"image,":[22],"e.g.":[23],"microscopy":[24,175],"imaging":[25,43],"cells":[27],"biology.":[29],"In":[30],"important":[32],"set":[33],"cases,":[35],"nature":[37,138],"objects":[40,48,68,85],"and":[41,101,172],"process":[44],"mean":[45],"when":[47],"overlap,":[49],"resulting":[51,167],"is":[53,92,110],"approximately":[54],"given":[55],"by":[56],"sum":[58,94],"intensities":[60],"individual":[62],"objects;":[63],"and,":[64],"addition,":[66],"interest":[70],"are":[71],"`blob-like'":[72],"near-circular.":[74],"We":[75,148,164],"propose":[76],"a":[77,96,102,111,122,154],"new":[78],"model":[79,168],"for":[80],"such":[87],"images.":[88],"The":[89,108,132],"posterior":[90],"energy":[91,98,104,116,134],"prior":[97,109],"modelling":[99,105],"shape":[100],"likelihood":[103,133],"image.":[107,163],"multi-layer":[112],"nonlocal":[113],"phase":[114],"field":[115],"favours":[118],"configurations":[119],"consisting":[120],"possibly":[125],"overlapping":[126,146],"touching":[128],"near-circular":[129],"instances.":[131],"models":[135],"additive":[137],"intensity":[141],"regions":[143],"corresponding":[144],"to":[145,152],"objects.":[147],"use":[149],"variational":[150],"methods":[151],"compute":[153],"MAP":[155],"estimate":[156],"test":[165],"on":[169,173],"synthetic":[170],"data":[171],"fluorescence":[174],"images":[176],"cell":[178],"nuclei.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
