{"id":"https://openalex.org/W2997347793","doi":"https://doi.org/10.1145/3364836.3364900","title":"A Level Set Method with Dynamic Prior for Cell Image Segmentation","display_name":"A Level Set Method with Dynamic Prior for Cell Image Segmentation","publication_year":2019,"publication_date":"2019-08-24","ids":{"openalex":"https://openalex.org/W2997347793","doi":"https://doi.org/10.1145/3364836.3364900","mag":"2997347793"},"language":"en","primary_location":{"id":"doi:10.1145/3364836.3364900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","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/A5088691885","display_name":"Xueying Chen","orcid":"https://orcid.org/0000-0002-5167-3550"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueying Chen","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043777246","display_name":"Liang Sun","orcid":"https://orcid.org/0000-0003-2326-4802"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Sun","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107061814","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0003-1118-3618"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088691885"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15577279,"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":"314","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/level-set","display_name":"Level set (data structures)","score":0.764592707157135},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7619444131851196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.677054762840271},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6570484042167664},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6510030627250671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307215690612793},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.6202494502067566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5762569904327393},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5690786838531494},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5267048478126526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49546611309051514},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4948543906211853},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.485272616147995},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4489712119102478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4313427805900574}],"concepts":[{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.764592707157135},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7619444131851196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.677054762840271},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6570484042167664},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6510030627250671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307215690612793},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.6202494502067566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5762569904327393},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5690786838531494},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5267048478126526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49546611309051514},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4948543906211853},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.485272616147995},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4489712119102478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4313427805900574},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1145/3364836.3364900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3233463823","display_name":null,"funder_award_id":"61971331, 61571347","funder_id":"https://openalex.org/F4320327720","funder_display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320327720","display_name":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1905036359","https://openalex.org/W1986640343","https://openalex.org/W2003345727","https://openalex.org/W2080860745","https://openalex.org/W2112891016","https://openalex.org/W2116040950","https://openalex.org/W2134820502","https://openalex.org/W2155813740","https://openalex.org/W2167354555","https://openalex.org/W2203541672","https://openalex.org/W2288149621","https://openalex.org/W2292153256","https://openalex.org/W2295607224","https://openalex.org/W2323063542","https://openalex.org/W2344654247","https://openalex.org/W2494442429","https://openalex.org/W2507783863","https://openalex.org/W2557828266","https://openalex.org/W2590998239","https://openalex.org/W2593901215","https://openalex.org/W2617163510","https://openalex.org/W2943627379","https://openalex.org/W2952887383","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W2373659438","https://openalex.org/W2102683994","https://openalex.org/W2063813108","https://openalex.org/W2392905701","https://openalex.org/W1879755808","https://openalex.org/W2171653019","https://openalex.org/W2097403386","https://openalex.org/W2050783914","https://openalex.org/W2385310810","https://openalex.org/W2736846486"],"abstract_inverted_index":{"To":[0],"well":[1],"handle":[2],"the":[3,21,50,62,75,91,100,104,114,124,133],"concerned":[4],"issues,":[5],"i.e.,":[6],"blur":[7,140],"edges":[8,79],"and":[9,18,56,103,116,142],"cell":[10,13,43,78,95,119],"adhesion,":[11],"of":[12,23,53,64,77],"segmentation":[14,134],"in":[15,41],"microscopy":[16,54],"images,":[17,55],"inspired":[19],"by":[20,44],"characteristic":[22],"cells,":[24],"we":[25,37,98],"proposed":[26],"a":[27,39,46,85,108],"novel":[28],"level":[29,65,109],"set":[30,66,110],"method":[31,48,111,130],"with":[32,123,139],"dynamic":[33],"shape":[34],"prior.":[35],"Firstly,":[36],"place":[38],"seed":[40],"each":[42],"using":[45],"threshold":[47],"on":[49,136],"LBP":[51],"feature":[52],"these":[57],"seeds":[58],"are":[59,71],"taken":[60],"into":[61,73,107],"initialization":[63,102],"function.":[67],"Then,":[68],"fractional":[69],"derivatives":[70],"introduced":[72],"extracting":[74],"strength":[76],"that":[80,128],"is":[81],"utilized":[82],"to":[83,94,112,147],"design":[84],"new":[86],"cell-edge":[87],"indicator":[88],"for":[89],"driving":[90],"closed":[92],"curve":[93,115],"edges.":[96],"Finally,":[97],"incorporate":[99],"automatic":[101],"stopper":[105],"function":[106],"evolve":[113],"finally":[117],"realize":[118],"segmentation.":[120],"The":[121],"comparison":[122],"state-of-the-art":[125],"methods":[126],"shows":[127],"our":[129],"could":[131],"improve":[132],"performance":[135],"adhesive":[137],"cells":[138],"edges,":[141],"it":[143],"does":[144],"not":[145],"need":[146],"tune":[148],"too":[149],"many":[150],"parameters.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}