{"id":"https://openalex.org/W2412747220","doi":"https://doi.org/10.3233/978-1-60750-939-4-589","title":"Automatic detection of microcalcifications in mammography using a neuromimetic system based on retina","display_name":"Automatic detection of microcalcifications in mammography using a neuromimetic system based on retina","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2412747220","doi":"https://doi.org/10.3233/978-1-60750-939-4-589","mag":"2412747220","pmid":"https://pubmed.ncbi.nlm.nih.gov/14664051"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-60750-939-4-589","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-939-4-589","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5113671055","display_name":"Jean-Fran\u00e7ois Vibert","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210102928","display_name":"H\u00f4pital Saint-Antoine","ror":"https://ror.org/01875pg84","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210097159","https://openalex.org/I4210102928"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Vibert Jean-François","raw_affiliation_strings":["INSERM U444, H\u00f4pital Saint-Antoine, UPMC, Paris, France"],"affiliations":[{"raw_affiliation_string":"INSERM U444, H\u00f4pital Saint-Antoine, UPMC, Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210102928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064519197","display_name":"Alain\u2010Jacques Valleron","orcid":"https://orcid.org/0000-0002-5678-9923"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valleron Alain-jacques","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113671055"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210102928"],"apc_list":null,"apc_paid":null,"fwci":0.2607,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56828488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"95","issue":null,"first_page":"589","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.97079998254776,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.97079998254776,"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"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7751412391662598},{"id":"https://openalex.org/keywords/retina","display_name":"Retina","score":0.652990996837616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6408933401107788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48898255825042725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4348238408565521},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.29857686161994934},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1665956676006317},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10480514168739319},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08599942922592163},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.06302100419998169}],"concepts":[{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7751412391662598},{"id":"https://openalex.org/C2777093970","wikidata":"https://www.wikidata.org/wiki/Q169342","display_name":"Retina","level":2,"score":0.652990996837616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6408933401107788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48898255825042725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4348238408565521},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29857686161994934},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1665956676006317},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10480514168739319},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08599942922592163},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.06302100419998169},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002114","descriptor_name":"Calcinosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002114","descriptor_name":"Calcinosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002114","descriptor_name":"Calcinosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005602","descriptor_name":"France","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005602","descriptor_name":"France","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005602","descriptor_name":"France","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-60750-939-4-589","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-60750-939-4-589","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:14664051","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/14664051","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,18,63,172],"incidence":[1],"of":[2,14,28,56,65,77,100,125,139,164,200],"breast":[3],"cancer":[4],"in":[5,31,68,208],"France":[6],"is":[7,16,20,36,71,143,144],"roughly":[8],"26,000":[9],"and":[10,47,92,156,161],"the":[11,21,25,29,54,66,69,72,98,101,105,116,130,140,151,158,165,188,201],"annual":[12],"number":[13],"deaths":[15],"11,000.":[17],"mammography":[19],"choice":[22],"examination":[23],"for":[24,74],"early":[26,61,75],"identification":[27],"tumours":[30],"an":[32,57],"asymptomatic":[33],"population.":[34],"This":[35,134],"a":[37,45,88,93,110,123,145,177,213,219],"simple,":[38],"reliable,":[39],"inexpensive":[40],"examination,":[41],"allowing":[42],"to":[43,113,150,154,186,227],"identify":[44],"grave":[46],"frequent":[48],"pathology,":[49],"but":[50,85],"that":[51,147,194,203],"can":[52,197,204],"be":[53,205],"object":[55],"effective":[58],"treatment":[59],"if":[60],"detected.":[62],"recognition":[64],"microcalcifications":[67,202],"mammographies":[70],"key":[73],"detection":[76,80,190],"cancers.":[78],"Automatic":[79],"methods":[81],"were":[82,174],"already":[83],"proposed,":[84],"they":[86],"have":[87],"very":[89],"weak":[90],"specificity":[91,221],"relatively":[94],"low":[95,220],"sensibility.":[96],"Currently,":[97],"eye":[99],"expert":[102],"still":[103],"remains":[104],"better":[106],"judge.":[107],"We":[108,192],"propose":[109],"neuromimetic":[111],"method":[112],"localize":[114],"automatically":[115,148],"microcalcifications.":[117],"In":[118],"this":[119,229],"method,":[120],"we":[121,211,216],"devise":[122],"network":[124,170],"formal":[126],"neurones":[127],"inspired":[128],"from":[129],"mammal":[131],"retina":[132,141],"architecture.":[133],"model":[135],"mimics":[136],"one":[137],"characteristic":[138],"which":[142,183],"sensor":[146],"adapts":[149],"image":[152],"characteristics":[153],"analyse":[155],"realize":[157],"outlines":[159],"extraction":[160],"adaptative":[162],"filtering":[163],"pictures,":[166],"based":[167],"on":[168],"its":[169],"properties.":[171],"results":[173],"tested":[175],"using":[176],"public":[178],"standardized":[179],"data":[180],"set":[181],"(DDSM),":[182],"was":[184],"designed":[185],"test":[187],"automatic":[189],"methods.":[191],"show":[193],"our":[195],"\"retina\"":[196],"extracts":[198],"most":[199],"grouped":[206],"together":[207],"clusters.":[209],"While":[210],"achieve":[212],"95%":[214],"sensitivity,":[215],"must":[217],"acknowledge":[218],"(22%).":[222],"Current":[223],"efforts":[224],"will":[225],"focus":[226],"enhance":[228],"latter":[230],"parameter.":[231]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}