{"id":"https://openalex.org/W2002413504","doi":"https://doi.org/10.1145/2382936.2383040","title":"How to select microscopy image similarity metrics?","display_name":"How to select microscopy image similarity metrics?","publication_year":2012,"publication_date":"2012-10-07","ids":{"openalex":"https://openalex.org/W2002413504","doi":"https://doi.org/10.1145/2382936.2383040","mag":"2002413504"},"language":"en","primary_location":{"id":"doi:10.1145/2382936.2383040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382936.2383040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015678162","display_name":"Peter Bajcsy","orcid":"https://orcid.org/0000-0002-6968-2615"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Bajcsy","raw_affiliation_strings":["NIST, Gaithersburg, MD","NIST., Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST, Gaithersburg, MD","institution_ids":[]},{"raw_affiliation_string":"NIST., Gaithersburg, MD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058861710","display_name":"Joe Chalfoun","orcid":"https://orcid.org/0000-0001-8901-7076"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joe Chalfoun","raw_affiliation_strings":["NIST, Gaithersburg, MD","NIST., Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST, Gaithersburg, MD","institution_ids":[]},{"raw_affiliation_string":"NIST., Gaithersburg, MD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799889","display_name":"Mary Brady","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mary Brady","raw_affiliation_strings":["NIST, Gaithersburg, MD","NIST., Gaithersburg, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST, Gaithersburg, MD","institution_ids":[]},{"raw_affiliation_string":"NIST., Gaithersburg, MD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08117859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"613","last_page":"615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9822999835014343,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9805999994277954,"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/metric","display_name":"Metric (unit)","score":0.778190553188324},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.748259425163269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682545006275177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5550106167793274},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.528439998626709},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4588428735733032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4364170432090759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38275817036628723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3748115003108978},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06368148326873779}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.778190553188324},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.748259425163269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682545006275177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5550106167793274},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.528439998626709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4588428735733032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4364170432090759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38275817036628723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3748115003108978},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06368148326873779},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2382936.2383040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2382936.2383040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W59822220","https://openalex.org/W195533127","https://openalex.org/W1494159083","https://openalex.org/W1506393112","https://openalex.org/W1567665801","https://openalex.org/W1653261828","https://openalex.org/W1994830509","https://openalex.org/W2008043556","https://openalex.org/W2019541549","https://openalex.org/W2026868195","https://openalex.org/W2081313007","https://openalex.org/W2107180976","https://openalex.org/W2121189958","https://openalex.org/W2143925545","https://openalex.org/W2149940510","https://openalex.org/W2150734399","https://openalex.org/W2162533938","https://openalex.org/W2324296573","https://openalex.org/W6634043687"],"related_works":["https://openalex.org/W2378757965","https://openalex.org/W4224903346","https://openalex.org/W1593262897","https://openalex.org/W2372869593","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2384194537","https://openalex.org/W2031011156","https://openalex.org/W2368745429","https://openalex.org/W2012019886"],"abstract_inverted_index":{"Comparisons":[0],"of":[1,45,51,64,76,89,103],"two":[2],"microscopy":[3,23,68],"images":[4,132],"can":[5,40],"be":[6],"accomplished":[7],"in":[8],"many":[9],"different":[10],"ways.":[11],"This":[12],"paper":[13],"presents":[14],"a":[15,46,52,84,101,113,123],"system":[16,126],"that":[17,37],"recommends":[18],"appropriate":[19],"similarity":[20,47,55,92,114],"metrics":[21],"for":[22,133],"image":[24,54,69,91],"comparisons":[25],"based":[26,116,127],"on":[27,117,128],"biological":[28,119],"application":[29],"requirements.":[30,120],"The":[31,49],"motivation":[32],"stems":[33],"from":[34],"the":[35,42,60,65,72],"fact":[36],"task":[38],"requirements":[39],"drive":[41],"automatic":[43],"selection":[44],"metric.":[48],"suitability":[50],"particular":[53],"metric":[56,66,93,115],"is":[57],"modeled":[58],"as":[59],"sensitivity":[61,104],"and":[62,71,86,106,130,136],"invariance":[63],"to":[67,111],"content":[70],"associated":[73],"dynamic":[74],"changes":[75],"this":[77,80,97,108],"content..":[78],"In":[79,96],"paper,":[81],"we":[82,99],"describe":[83],"mathematical":[85],"experimental":[87],"basis":[88],"an":[90],"recommendation":[94,125],"system.":[95],"system,":[98],"build":[100],"database":[102,110],"signatures,":[105],"query":[107],"reference":[109],"retrieve":[112],"given":[118],"We":[121],"illustrate":[122],"prototype":[124],"synthetic":[129],"measured":[131],"spectral":[134],"calibration":[135],"spatial":[137],"registration":[138],"applications.":[139]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}