{"id":"https://openalex.org/W2744382833","doi":"https://doi.org/10.5220/0004903002700277","title":"Active Contour Segmentation based on Approximate Entropy - Application to Cell Membrane Segmentation in Confocal Microscopy","display_name":"Active Contour Segmentation based on Approximate Entropy - Application to Cell Membrane Segmentation in Confocal Microscopy","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2744382833","doi":"https://doi.org/10.5220/0004903002700277","mag":"2744382833"},"language":"en","primary_location":{"id":"doi:10.5220/0004903002700277","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004903002700277","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bio-inspired Systems and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004903002700277","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107405298","display_name":"Aymeric Histace","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aymeric Histace","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078269332","display_name":"Elizabeth Bonnefoye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elizabeth Bonnefoye","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107977303","display_name":"Lu\u00eds Garrido","orcid":"https://orcid.org/0000-0002-9860-6734"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis Garrido","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050314744","display_name":"Bogdan J. Matuszewski","orcid":"https://orcid.org/0000-0001-7195-2509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bogdan J. Matuszewski","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031252332","display_name":"M. F. Murphy","orcid":"https://orcid.org/0000-0002-3974-4029"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Murphy","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5107405298"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1868,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59964042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9922000169754028,"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":0.9914000034332275,"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/confocal-microscopy","display_name":"Confocal microscopy","score":0.7020171880722046},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6921240091323853},{"id":"https://openalex.org/keywords/confocal","display_name":"Confocal","score":0.6026146411895752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6002618074417114},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.5654339790344238},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.556603193283081},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5520105361938477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.492156445980072},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4518890976905823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4419860541820526},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42091336846351624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3873051106929779},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3234679698944092},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17953968048095703},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.17464619874954224}],"concepts":[{"id":"https://openalex.org/C2779178360","wikidata":"https://www.wikidata.org/wiki/Q902045","display_name":"Confocal microscopy","level":2,"score":0.7020171880722046},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6921240091323853},{"id":"https://openalex.org/C136009344","wikidata":"https://www.wikidata.org/wiki/Q336201","display_name":"Confocal","level":2,"score":0.6026146411895752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6002618074417114},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.5654339790344238},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.556603193283081},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5520105361938477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.492156445980072},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4518890976905823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4419860541820526},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42091336846351624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3873051106929779},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3234679698944092},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17953968048095703},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.17464619874954224},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004903002700277","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004903002700277","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bio-inspired Systems and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004903002700277","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004903002700277","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bio-inspired Systems and Signal Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2085535719","https://openalex.org/W2008049857","https://openalex.org/W2056668469","https://openalex.org/W2726111829","https://openalex.org/W4250585504","https://openalex.org/W2105513520","https://openalex.org/W1978803831","https://openalex.org/W2999303294","https://openalex.org/W2580002495","https://openalex.org/W1530645078"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,5,31,63,87,91],"cellular":[2],"structures":[3],"is":[4,58,116],"primary":[6],"interest":[7],"in":[8],"cell":[9,12,21],"imaging":[10],"for":[11,26,41],"shape":[13],"reconstruction":[14],"and":[15,127],"to\r\n\r\nprovide":[16],"crucial":[17],"information":[18],"about":[19],"possible":[20],"morphology":[22],"changes":[23],"during":[24],"radiotherapy":[25],"instance.":[27],"From\r\n\r\nthe":[28],"particular":[29,89,120],"perspective":[30],"predictive":[32],"oncology,":[33],"this":[34],"paper":[35],"reports":[36],"on":[37,60,108,122,133],"a":[38,54,72,88,105,119],"novel":[39],"method":[40,57],"membrane":[42,130],"segmentation\r\n\r\nfrom":[43],"single":[44],"channel":[45],"actin":[46],"tagged":[47],"fluorescence":[48],"confocal":[49,134],"microscopy":[50,135],"images,":[51],"which":[52],"remains":[53],"challenging\r\n\r\ntask.":[55],"Proposed":[56],"based":[59],"the":[61,64,85,123],"use":[62],"Approximate":[65,77,109],"Entropy":[66,78,110],"formerly":[67],"introduced":[68],"by":[69],"Pincus\r\n\r\nembedded":[70],"within":[71],"Geodesic":[73],"Active":[74],"Contour":[75],"approach.":[76],"can":[79,95],"be":[80,96],"seen":[81],"as":[82,98,111],"an":[83,99,112],"estimator\r\n\r\nof":[84],"regularity":[86],"sequence":[90],"values":[92],"and,":[93],"consequently,":[94],"used":[97],"edge":[100,113],"detector.":[101],"In\r\n\r\nthis":[102],"prospective":[103],"study,":[104],"preliminary":[106],"study":[107],"detector":[114],"function":[115],"first":[117],"proposed\r\n\r\nwith":[118],"focus":[121],"robustness":[124],"to":[125],"noise,":[126],"some":[128],"promising":[129],"segmentation":[131],"results\r\n\r\nobtained":[132],"images":[136],"are":[137],"also":[138],"shown.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-08-17T00:00:00"}