{"id":"https://openalex.org/W2806726568","doi":"https://doi.org/10.1109/isbi.2018.8363608","title":"Resolving single cells in heavily clustered Nissl-stained images for the analysis of brain cytoarchitecture","display_name":"Resolving single cells in heavily clustered Nissl-stained images for the analysis of brain cytoarchitecture","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2806726568","doi":"https://doi.org/10.1109/isbi.2018.8363608","mag":"2806726568"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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/A5022937331","display_name":"Enrico Grisan","orcid":"https://orcid.org/0000-0002-7365-5652"},"institutions":[{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Enrico Grisan","raw_affiliation_strings":["King's College, School of Imaging Sciences and Biomedical Engineering, London, UK"],"affiliations":[{"raw_affiliation_string":"King's College, School of Imaging Sciences and Biomedical Engineering, London, UK","institution_ids":["https://openalex.org/I4210119896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024256566","display_name":"Jean\u2010Marie Gra\u00efc","orcid":"https://orcid.org/0000-0002-1974-8356"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jean-Marie Graic","raw_affiliation_strings":["Universita degli Studi di Padova, Padova, Veneto, IT"],"affiliations":[{"raw_affiliation_string":"Universita degli Studi di Padova, Padova, Veneto, IT","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042170109","display_name":"Livio Corain","orcid":"https://orcid.org/0000-0002-8104-1255"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Livio Corain","raw_affiliation_strings":["Department of Technics and Management of Industrial Systems, University of Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Technics and Management of Industrial Systems, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058329517","display_name":"Antonella Peruffo","orcid":"https://orcid.org/0000-0003-0454-9087"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Peruffo","raw_affiliation_strings":["Department of Comparative Biomedicine and Food Science, University of Padova, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Comparative Biomedicine and Food Science, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022937331"],"corresponding_institution_ids":["https://openalex.org/I4210119896"],"apc_list":null,"apc_paid":null,"fwci":0.8357,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78414757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"427","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991000294685364,"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/T10862","display_name":"AI in cancer detection","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cytoarchitecture","display_name":"Cytoarchitecture","score":0.9797590374946594},{"id":"https://openalex.org/keywords/nissl-body","display_name":"Nissl body","score":0.8602944612503052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6158872842788696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5785518884658813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5378311276435852},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4984405040740967},{"id":"https://openalex.org/keywords/morphological-analysis","display_name":"Morphological analysis","score":0.43290066719055176},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.37505602836608887},{"id":"https://openalex.org/keywords/staining","display_name":"Staining","score":0.29573577642440796},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.29351305961608887},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08859363198280334}],"concepts":[{"id":"https://openalex.org/C163895629","wikidata":"https://www.wikidata.org/wiki/Q3009543","display_name":"Cytoarchitecture","level":2,"score":0.9797590374946594},{"id":"https://openalex.org/C37753355","wikidata":"https://www.wikidata.org/wiki/Q911877","display_name":"Nissl body","level":3,"score":0.8602944612503052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6158872842788696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5785518884658813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378311276435852},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4984405040740967},{"id":"https://openalex.org/C76297474","wikidata":"https://www.wikidata.org/wiki/Q1898737","display_name":"Morphological analysis","level":2,"score":0.43290066719055176},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.37505602836608887},{"id":"https://openalex.org/C74864618","wikidata":"https://www.wikidata.org/wiki/Q2332446","display_name":"Staining","level":2,"score":0.29573577642440796},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.29351305961608887},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08859363198280334},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2018.8363608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3271376","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3271376","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1983823085","https://openalex.org/W2000619876","https://openalex.org/W2022085685","https://openalex.org/W2057956003","https://openalex.org/W2060872376","https://openalex.org/W2071516577","https://openalex.org/W2109722393","https://openalex.org/W2142332605","https://openalex.org/W2167435976","https://openalex.org/W2279026529","https://openalex.org/W2344264365","https://openalex.org/W2344654247","https://openalex.org/W2529631604","https://openalex.org/W6664930688"],"related_works":["https://openalex.org/W2014338074","https://openalex.org/W1972370544","https://openalex.org/W2072436059","https://openalex.org/W4382400076","https://openalex.org/W2005381843","https://openalex.org/W1985775804","https://openalex.org/W2154079939","https://openalex.org/W1971279601","https://openalex.org/W2792520941","https://openalex.org/W2033000528"],"abstract_inverted_index":{"The":[0,63],"analysis":[1],"of":[2,5,9,15,28,65,73,88,103,139,152,163,168],"the":[3,13,29,43,50,70,77,86,106,120,144,169],"cytoarchitecture":[4],"a":[6,115,136,157],"tissue":[7,26],"is":[8,21],"great":[10],"importance":[11],"for":[12,31,110],"understanding":[14],"development,":[16],"behavior":[17],"and":[18,35,61,69,90,97,101,127,154],"disease.":[19],"This":[20],"also":[22,109],"true":[23],"when":[24],"analyzing":[25,32],"specimens":[27],"brain,":[30],"cells":[33,47,74],"morphology":[34,60],"their":[36],"spatial":[37],"organization.":[38],"To":[39],"this":[40],"end,":[41],"on":[42,119,165],"Nissl-stained":[44,166],"each":[45,132],"single":[46],"present":[48,75,114],"in":[49,99,150],"sample":[51],"needs":[52],"to":[53,58,80],"be":[54,81],"detected,":[55],"classified":[56],"according":[57],"its":[59],"position.":[62],"dimension":[64],"typical":[66],"histological":[67],"images":[68,167],"sheer":[71],"numbers":[72],"make":[76],"task":[78,107],"impossible":[79],"carried":[82],"out":[83],"manually.":[84],"Additionally,":[85],"presence":[87],"background":[89],"staining":[91],"heterogeneity,":[92],"clutter,":[93],"heavily":[94],"clustered":[95],"cells,":[96,104],"variability":[98],"shape":[100],"appearance":[102],"makes":[105],"difficult":[108],"automatic":[111],"methods.":[112],"We":[113,141],"method":[116,146],"that":[117,143],"building":[118],"tentative":[121],"detection":[122],"obtained":[123],"by":[124],"local":[125],"thresholding":[126],"radial":[128],"symmetry":[129],"transform,":[130],"represent":[131],"cell":[133],"cluster":[134],"as":[135],"sparse":[137],"mixture":[138],"gaussians.":[140],"show":[142],"proposed":[145],"performs":[147],"well":[148],"both":[149],"terms":[151],"precision":[153],"recall,":[155],"obtaining":[156],"F":[158],"<inf":[159],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[161],"-score":[162],"0.87":[164],"cerebellum.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-06-13T00:00:00"}
