{"id":"https://openalex.org/W3091649254","doi":"https://doi.org/10.1109/icip40778.2020.9191177","title":"B-Spline Level Set For Drosophila Image Segmentation","display_name":"B-Spline Level Set For Drosophila Image Segmentation","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3091649254","doi":"https://doi.org/10.1109/icip40778.2020.9191177","mag":"3091649254"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5050245118","display_name":"Rim Rahali","orcid":"https://orcid.org/0000-0002-5908-3002"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Rim Rahali","raw_affiliation_strings":["MACS-LR16ES22, University of Gabes, Tunisia"],"affiliations":[{"raw_affiliation_string":"MACS-LR16ES22, University of Gabes, Tunisia","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079232226","display_name":"Yassine Ben Salem","orcid":"https://orcid.org/0000-0002-5191-4932"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Yassine Ben Salem","raw_affiliation_strings":["MACS-LR16ES22, University of Gabes, Tunisia"],"affiliations":[{"raw_affiliation_string":"MACS-LR16ES22, University of Gabes, Tunisia","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027270450","display_name":"Noura Dridi","orcid":"https://orcid.org/0000-0002-8570-8870"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Noura Dridi","raw_affiliation_strings":["IResCoMath Research Laboratory, University of Gabes, Tunisia"],"affiliations":[{"raw_affiliation_string":"IResCoMath Research Laboratory, University of Gabes, Tunisia","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057738174","display_name":"Hassen Dahman","orcid":"https://orcid.org/0000-0002-3241-7383"},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hassen Dahman","raw_affiliation_strings":["LaPhyMNE-LR05ES14, National Engineering School of Gabes, University of Gabes, Tunisia"],"affiliations":[{"raw_affiliation_string":"LaPhyMNE-LR05ES14, National Engineering School of Gabes, University of Gabes, Tunisia","institution_ids":["https://openalex.org/I68916915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050245118"],"corresponding_institution_ids":["https://openalex.org/I68916915"],"apc_list":null,"apc_paid":null,"fwci":0.4155,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76876066,"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":"413","last_page":"417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9980000257492065,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9966999888420105,"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/spline","display_name":"Spline (mechanical)","score":0.6780782341957092},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6219354271888733},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.5844715237617493},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5807777047157288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297017693519592},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5031220316886902},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.47989094257354736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4786754250526428},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47467470169067383},{"id":"https://openalex.org/keywords/b-spline","display_name":"B-spline","score":0.4506981670856476},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.4488905370235443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4452567398548126},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43931108713150024},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4192304015159607},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41154569387435913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4034915566444397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39911365509033203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37895476818084717},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09855526685714722},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07371607422828674}],"concepts":[{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.6780782341957092},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6219354271888733},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.5844715237617493},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5807777047157288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297017693519592},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5031220316886902},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.47989094257354736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4786754250526428},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47467470169067383},{"id":"https://openalex.org/C15945459","wikidata":"https://www.wikidata.org/wiki/Q2083109","display_name":"B-spline","level":2,"score":0.4506981670856476},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.4488905370235443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4452567398548126},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43931108713150024},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4192304015159607},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41154569387435913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4034915566444397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39911365509033203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37895476818084717},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09855526685714722},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07371607422828674},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9191177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1535477549","https://openalex.org/W1812394418","https://openalex.org/W1993669821","https://openalex.org/W2015596074","https://openalex.org/W2023297597","https://openalex.org/W2050921210","https://openalex.org/W2100383758","https://openalex.org/W2116040950","https://openalex.org/W2133059825","https://openalex.org/W2137117880","https://openalex.org/W2187120241","https://openalex.org/W2331108513","https://openalex.org/W2515029286","https://openalex.org/W2947263797","https://openalex.org/W6686764919"],"related_works":["https://openalex.org/W2367921179","https://openalex.org/W3080476861","https://openalex.org/W657288383","https://openalex.org/W2098360446","https://openalex.org/W1980083116","https://openalex.org/W2233054077","https://openalex.org/W1966783661","https://openalex.org/W2122184585","https://openalex.org/W2373659438","https://openalex.org/W3198334642"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,37,75,102],"biological":[2,76],"images":[3],"is":[4,25,41,54,80],"a":[5,22,44],"challenging":[6],"task,":[7],"due":[8],"to":[9,82,87],"non":[10],"convex":[11],"shapes,":[12],"intensity":[13],"inhomogeneity":[14],"and":[15,85,91,108],"clustered":[16],"cells.":[17],"To":[18],"address":[19],"these":[20],"issues,":[21],"new":[23],"algorithm":[24,79],"proposed":[26,69],"based":[27],"on":[28],"the":[29,38,50,57,68,103],"B-spline":[30,51],"level":[31,39,63,89],"set":[32,40,90],"method.":[33],"The":[34,78],"implicit":[35],"function":[36,47],"modelled":[42],"as":[43],"continuous":[45],"parametric":[46],"represented":[48],"with":[49,61],"basis.":[52],"It":[53],"different":[55],"from":[56],"discrete":[58],"formulation":[59],"associated":[60],"conventional":[62,88],"set.":[64],"In":[65],"this":[66],"paper":[67],"framework":[70],"takes":[71],"into":[72],"account":[73],"properties":[74],"images.":[77,110],"applied":[81],"Drosophila":[83],"images,":[84],"compared":[86],"Marker":[92],"Controlled":[93],"Watershed":[94],"(MCW).":[95],"Results":[96],"show":[97],"good":[98],"performance":[99],"in":[100],"term":[101],"DICE":[104],"coefficient,":[105],"for":[106],"noisy":[107],"noiseless":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
