{"id":"https://openalex.org/W1966129192","doi":"https://doi.org/10.1109/ispa.2013.6703825","title":"Evaluation of features for automatic detection of cell nuclei in fluorescence microscopy images","display_name":"Evaluation of features for automatic detection of cell nuclei in fluorescence microscopy images","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1966129192","doi":"https://doi.org/10.1109/ispa.2013.6703825","mag":"1966129192"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2013.6703825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5048401136","display_name":"Paolo Fabris","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088270","display_name":"Vision Engineering (Italy)","ror":"https://ror.org/0056qvz32","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210088270"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paolo Fabris","raw_affiliation_strings":["Glance Vision Technologies srl, Trieste, Italy","Glance Vision Technol. srl, Trieste, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Glance Vision Technologies srl, Trieste, Italy","institution_ids":[]},{"raw_affiliation_string":"Glance Vision Technol. srl, Trieste, Italy","institution_ids":["https://openalex.org/I4210088270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089310966","display_name":"Walter Vanzella","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088270","display_name":"Vision Engineering (Italy)","ror":"https://ror.org/0056qvz32","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210088270"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Walter Vanzella","raw_affiliation_strings":["Glance Vision Technologies srl, Trieste, Italy","Glance Vision Technol. srl, Trieste, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Glance Vision Technologies srl, Trieste, Italy","institution_ids":[]},{"raw_affiliation_string":"Glance Vision Technol. srl, Trieste, Italy","institution_ids":["https://openalex.org/I4210088270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058996630","display_name":"Felice Andrea Pellegrino","orcid":"https://orcid.org/0000-0002-4423-1666"},"institutions":[{"id":"https://openalex.org/I142444530","display_name":"University of Trieste","ror":"https://ror.org/02n742c10","country_code":"IT","type":"education","lineage":["https://openalex.org/I142444530"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Felice Andrea Pellegrino","raw_affiliation_strings":["Dipartimento di Ingegneria e Architettura, Universit\u00e0 di Trieste, Trieste, Italy","Dipt. di Ing. e Architettura, Univ. di Trieste, Trieste, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria e Architettura, Universit\u00e0 di Trieste, Trieste, Italy","institution_ids":["https://openalex.org/I142444530"]},{"raw_affiliation_string":"Dipt. di Ing. e Architettura, Univ. di Trieste, Trieste, Italy","institution_ids":["https://openalex.org/I142444530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048401136"],"corresponding_institution_ids":["https://openalex.org/I4210088270"],"apc_list":null,"apc_paid":null,"fwci":1.6772,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86823178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"683","last_page":"688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.996999979019165,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7539929151535034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6866120100021362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755317449569702},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.661072313785553},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6603627800941467},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.603520929813385},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5191513895988464},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.4868011176586151},{"id":"https://openalex.org/keywords/fluorescence-microscope","display_name":"Fluorescence microscope","score":0.44829419255256653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43664103746414185},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4143303632736206},{"id":"https://openalex.org/keywords/labelling","display_name":"Labelling","score":0.4112473428249359},{"id":"https://openalex.org/keywords/fluorescence","display_name":"Fluorescence","score":0.3583737015724182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16072142124176025},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.142797589302063},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10544860363006592},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07734459638595581},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0719696581363678}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7539929151535034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6866120100021362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755317449569702},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.661072313785553},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6603627800941467},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.603520929813385},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5191513895988464},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.4868011176586151},{"id":"https://openalex.org/C169274487","wikidata":"https://www.wikidata.org/wiki/Q840211","display_name":"Fluorescence microscope","level":3,"score":0.44829419255256653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43664103746414185},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4143303632736206},{"id":"https://openalex.org/C2780523633","wikidata":"https://www.wikidata.org/wiki/Q380709","display_name":"Labelling","level":2,"score":0.4112473428249359},{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.3583737015724182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16072142124176025},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.142797589302063},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10544860363006592},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07734459638595581},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0719696581363678},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ispa.2013.6703825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2013.6703825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arts.units.it:11368/2742121","is_oa":false,"landing_page_url":"http://hdl.handle.net/11368/2742121","pdf_url":null,"source":{"id":"https://openalex.org/S4306402362","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"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":[{"score":0.7200000286102295,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W1503196035","https://openalex.org/W1509691074","https://openalex.org/W1547714734","https://openalex.org/W1970480709","https://openalex.org/W1988596999","https://openalex.org/W2026732121","https://openalex.org/W2033691141","https://openalex.org/W2042726413","https://openalex.org/W2043034051","https://openalex.org/W2044465660","https://openalex.org/W2045203602","https://openalex.org/W2091781764","https://openalex.org/W2109200236","https://openalex.org/W2124260943","https://openalex.org/W2133059825","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2155344960","https://openalex.org/W2158698691","https://openalex.org/W2341512478","https://openalex.org/W4230674625","https://openalex.org/W6659156411","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W1525479493","https://openalex.org/W1976633635","https://openalex.org/W2396436470","https://openalex.org/W1970064489","https://openalex.org/W4241622628","https://openalex.org/W1991894391","https://openalex.org/W2070829827","https://openalex.org/W2078502149","https://openalex.org/W2022106528","https://openalex.org/W2380886523"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,14,22,39,63,70,78,93],"detecting":[3],"cell":[4],"nuclei":[5],"in":[6],"fluorescence":[7],"images":[8],"may":[9],"be":[10,44],"faced":[11],"by":[12,26,51,103],"means":[13],"a":[15,27,60,97],"segmentation":[16],"step,":[17],"to":[18,43,96,100],"get":[19],"the":[20,33,37,40,47,52,55,86,90],"neighbourhood":[21,48],"candidate":[23],"nuclei,":[24],"followed":[25],"binary":[28],"classification":[29],"step.":[30],"Important":[31],"for":[32],"latter":[34],"step":[35],"is":[36],"choice":[38],"descriptors":[41,72],"(features)":[42],"extracted":[45],"from":[46],"and":[49],"used":[50],"classifier.":[53],"In":[54],"present":[56],"paper,":[57],"based":[58],"on":[59],"large":[61],"set":[62],"manually":[64],"labelled":[65],"samples,":[66],"we":[67],"evaluate":[68],"several":[69],"such":[71],"combined":[73],"with":[74,89],"some":[75],"common":[76],"type":[77],"support":[79],"vector":[80],"machines.":[81],"We":[82],"show":[83],"that":[84],"equipping":[85],"detection":[87],"algorithm":[88],"best":[91],"combination":[92],"features/classifier":[94],"leads":[95],"performance":[98],"comparable":[99],"human":[101],"labelling":[102],"experts.":[104]},"counts_by_year":[{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
