{"id":"https://openalex.org/W2244577795","doi":"https://doi.org/10.1109/dicta.2015.7371218","title":"A Multi-Kernel Local Level Set Image Segmentation Algorithm for Fluorescence Microscopy Images","display_name":"A Multi-Kernel Local Level Set Image Segmentation Algorithm for Fluorescence Microscopy Images","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2244577795","doi":"https://doi.org/10.1109/dicta.2015.7371218","mag":"2244577795"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2015.7371218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371218","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/A5002946984","display_name":"Amin Gharipour","orcid":"https://orcid.org/0000-0001-9434-6755"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Amin Gharipour","raw_affiliation_strings":["Griffith University, Nathan, QLD, AU"],"affiliations":[{"raw_affiliation_string":"Griffith University, Nathan, QLD, AU","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alan Wee-Chung Liew","raw_affiliation_strings":["School of Information and Communication Technology Gold Coast Campus, Griffith University, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology Gold Coast Campus, Griffith University, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002946984"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59830491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.996999979019165,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6888381242752075},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6716882586479187},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6390790343284607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6316280364990234},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.6067007780075073},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5608110427856445},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5556586980819702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5300300717353821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.51943039894104},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5075260400772095},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.4647589921951294},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4596737027168274},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4326518177986145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28973937034606934},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07119962573051453},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06690007448196411}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6888381242752075},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6716882586479187},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6390790343284607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6316280364990234},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.6067007780075073},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5608110427856445},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5556586980819702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5300300717353821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.51943039894104},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5075260400772095},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.4647589921951294},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4596737027168274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4326518177986145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28973937034606934},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07119962573051453},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06690007448196411},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2015.7371218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371218","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"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/339297","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/339297","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1566603264","https://openalex.org/W1973171845","https://openalex.org/W1979393293","https://openalex.org/W1992058099","https://openalex.org/W2010308130","https://openalex.org/W2021251434","https://openalex.org/W2065350495","https://openalex.org/W2100138660","https://openalex.org/W2104311408","https://openalex.org/W2114173589","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2123402141","https://openalex.org/W2124260943","https://openalex.org/W2132855892","https://openalex.org/W2133059825","https://openalex.org/W2133171338","https://openalex.org/W2139478903","https://openalex.org/W2162245111","https://openalex.org/W2164578359","https://openalex.org/W2532359871","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W2368150111","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2098360446","https://openalex.org/W2945274617","https://openalex.org/W2785294226","https://openalex.org/W2373659438","https://openalex.org/W2380607399","https://openalex.org/W4313052709","https://openalex.org/W2003543191"],"abstract_inverted_index":{"Fluorescence":[0],"microscopy":[1,38,107],"image":[2,40,85],"segmentation":[3,29,118],"is":[4,31,68,77,112],"a":[5,23,34,45,53,71,90,102],"central":[6],"task":[7],"in":[8,52],"high-throughput":[9],"applications":[10],"such":[11],"as":[12,33],"protein":[13],"expression":[14],"quantification":[15],"and":[16,64],"cell":[17,39],"function":[18],"investigation.":[19],"In":[20,42],"this":[21,43],"paper,":[22],"multiple":[24,65,75],"kernel":[25],"local":[26,47,84],"level":[27,55],"set":[28,56],"algorithm":[30],"introduced":[32],"framework":[35],"for":[36],"fluorescence":[37,106],"segmentation.":[41],"framework,":[44],"new":[46],"region-based":[48],"active":[49],"contour":[50],"model":[51,63],"variational":[54],"formulation":[57],"based":[58],"on":[59],"the":[60,82,95,98],"piecewise":[61],"constant":[62],"kernels":[66,76],"mapping":[67],"proposed":[69,99],"where":[70],"linear":[72],"combination":[73],"of":[74,89,97,105],"utilized":[78],"to":[79],"implicitly":[80],"map":[81],"original":[83],"data":[86,88],"into":[87],"higher":[91],"dimension.":[92],"We":[93],"evaluate":[94],"performance":[96],"method":[100],"using":[101],"large":[103],"number":[104],"images.":[108],"A":[109],"quantitative":[110],"comparison":[111],"also":[113],"performed":[114],"with":[115],"some":[116],"state-of-the-art":[117],"approaches.":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}