{"id":"https://openalex.org/W2063217105","doi":"https://doi.org/10.1016/0893-6080(95)00061-5","title":"Artificial convolution neural network for medical image pattern recognition","display_name":"Artificial convolution neural network for medical image pattern recognition","publication_year":1995,"publication_date":"1995-01-01","ids":{"openalex":"https://openalex.org/W2063217105","doi":"https://doi.org/10.1016/0893-6080(95)00061-5","mag":"2063217105"},"language":"en","primary_location":{"id":"doi:10.1016/0893-6080(95)00061-5","is_oa":true,"landing_page_url":"https://doi.org/10.1016/0893-6080(95)00061-5","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"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":"Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/0893-6080(95)00061-5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112894854","display_name":"Shih\u2010Chung B. Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I2799903593","display_name":"Georgetown University Medical Center","ror":"https://ror.org/00hjz7x27","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799903593"]},{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shih-Chung B. Lo","raw_affiliation_strings":["Georgetown University Medical Center, USA","Georgetown University Medical Center USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgetown University Medical Center, USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]},{"raw_affiliation_string":"Georgetown University Medical Center USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027247097","display_name":"Heang\u2010Ping Chan","orcid":"https://orcid.org/0000-0001-7777-9006"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heang-Ping Chan","raw_affiliation_strings":["University of Michigan Medical Center, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan Medical Center, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103397061","display_name":"Jyh-Shyan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I2799903593","display_name":"Georgetown University Medical Center","ror":"https://ror.org/00hjz7x27","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799903593"]},{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jyh-Shyan Lin","raw_affiliation_strings":["Georgetown University Medical Center, USA","Georgetown University Medical Center USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgetown University Medical Center, USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]},{"raw_affiliation_string":"Georgetown University Medical Center USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074947237","display_name":"Huai Li","orcid":"https://orcid.org/0000-0001-7129-6660"},"institutions":[{"id":"https://openalex.org/I2799903593","display_name":"Georgetown University Medical Center","ror":"https://ror.org/00hjz7x27","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799903593"]},{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huai Li","raw_affiliation_strings":["Georgetown University Medical Center, USA","Georgetown University Medical Center USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgetown University Medical Center, USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]},{"raw_affiliation_string":"Georgetown University Medical Center USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082730464","display_name":"Matthew T. Freedman","orcid":"https://orcid.org/0000-0001-5594-7566"},"institutions":[{"id":"https://openalex.org/I2799903593","display_name":"Georgetown University Medical Center","ror":"https://ror.org/00hjz7x27","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799903593"]},{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew T. Freedman","raw_affiliation_strings":["Georgetown University Medical Center, USA","Georgetown University Medical Center USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgetown University Medical Center, USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]},{"raw_affiliation_string":"Georgetown University Medical Center USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071503238","display_name":"Seong K. Mun","orcid":"https://orcid.org/0000-0001-9661-7918"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]},{"id":"https://openalex.org/I2799903593","display_name":"Georgetown University Medical Center","ror":"https://ror.org/00hjz7x27","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799903593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seong K. Mun","raw_affiliation_strings":["Georgetown University Medical Center, USA","Georgetown University Medical Center USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgetown University Medical Center, USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]},{"raw_affiliation_string":"Georgetown University Medical Center USA","institution_ids":["https://openalex.org/I2799903593","https://openalex.org/I184565670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112894854"],"corresponding_institution_ids":["https://openalex.org/I184565670","https://openalex.org/I2799903593"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":{"value":3350,"currency":"USD","value_usd":3350},"fwci":9.4304,"has_fulltext":false,"cited_by_count":323,"citation_normalized_percentile":{"value":0.97885262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":"7-8","first_page":"1201","last_page":"1214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9926999807357788,"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":0.9926999807357788,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9735999703407288,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9722999930381775,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7648919224739075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7024447321891785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.691555917263031},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6634202599525452},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5926785469055176},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4714913070201874},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4499085247516632},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42307528853416443},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.194604754447937}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7648919224739075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7024447321891785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691555917263031},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6634202599525452},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5926785469055176},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4714913070201874},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4499085247516632},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42307528853416443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.194604754447937}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0893-6080(95)00061-5","is_oa":true,"landing_page_url":"https://doi.org/10.1016/0893-6080(95)00061-5","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"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":"Neural Networks","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/0893-6080(95)00061-5","is_oa":true,"landing_page_url":"https://doi.org/10.1016/0893-6080(95)00061-5","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"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":"Neural Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1967923077","https://openalex.org/W1969786749","https://openalex.org/W1975154678","https://openalex.org/W1982526788","https://openalex.org/W2006614859","https://openalex.org/W2027594868","https://openalex.org/W2036255459","https://openalex.org/W2046427202","https://openalex.org/W2063929783","https://openalex.org/W2076760744","https://openalex.org/W2086127902","https://openalex.org/W2101926813","https://openalex.org/W2112525988","https://openalex.org/W2148836471","https://openalex.org/W2161113826","https://openalex.org/W2165550102","https://openalex.org/W2170302354","https://openalex.org/W2256679588","https://openalex.org/W2399193266","https://openalex.org/W2735923502","https://openalex.org/W2745632784","https://openalex.org/W2766736793","https://openalex.org/W4236332837","https://openalex.org/W6683805178"],"related_works":["https://openalex.org/W2131836320","https://openalex.org/W2182757990","https://openalex.org/W2096049549","https://openalex.org/W2912288872","https://openalex.org/W2767651786","https://openalex.org/W2621036292","https://openalex.org/W1508551370","https://openalex.org/W2048374302","https://openalex.org/W3156786002","https://openalex.org/W2144218027"],"abstract_inverted_index":{"We":[0,158,189,213],"have":[1,159,177],"developed":[2],"several":[3],"training":[4,84,118],"methods":[5,162],"in":[6,66,97,185],"conjunction":[7],"with":[8],"a":[9,45,56,186,192,202,218,235,242],"convolution":[10,68,74,230],"neural":[11,34,42,69,80,88,103,231],"network":[12,43,47,81,104,232],"for":[13,62,85,124,163,196],"general":[14],"medical":[15],"image":[16,109,127,250],"pattern":[17,244],"recognition.":[18],"An":[19],"unconventional":[20],"method":[21],"of":[22,39,49,73,113,131,143,149,182],"using":[23,153],"rotation":[24,141],"and":[25,111,140,146,170,200],"shift":[26,139],"invariance":[27,142],"is":[28,44,58,245],"also":[29,190],"proposed":[30],"to":[31,99,105,115,208,222,239],"enhance":[32,209],"the":[33,40,50,59,63,67,79,101,107,179,248],"net":[35],"performance.":[36],"The":[37,174,228],"structure":[38,48],"artificial":[41,87,102,229],"simplified":[46],"neocognitron.":[51],"Two-dimensional":[52],"local":[53],"connection":[54],"as":[55,234],"group":[57],"fundamental":[60],"architecture":[61],"signal":[64],"propagation":[65],"network.":[70],"Weighting":[71],"coefficients":[72],"kernels":[75],"are":[76],"formed":[77],"by":[78],"through":[82],"backpropagated":[83],"this":[86,183],"net.":[89],"In":[90],"addition,":[91],"radiologists'":[92,122],"reading":[93],"procedure":[94],"was":[95],"modelled":[96],"order":[98],"instruct":[100],"recognize":[106],"predefined":[108],"patterns":[110],"those":[112],"interest":[114],"experts.":[116],"Our":[117],"techniques":[119],"involve":[120],"(a)":[121],"rating":[123],"each":[125],"suspected":[126,249],"area,":[128],"(b)":[129],"backpropagation":[130],"generalized":[132],"distribution,":[133],"(c)":[134],"trainer":[135],"imposed":[136],"functions,":[137],"(d)":[138],"diagnosis":[144],"interpretation,":[145],"(e)":[147],"consistency":[148],"clinical":[150,187],"input":[151],"data":[152],"appropriate":[154],"background":[155],"reduction":[156],"functions.":[157],"tested":[160],"these":[161],"detecting":[164],"lung":[165],"nodules":[166],"on":[167,172,247],"chest":[168],"radiographs":[169],"microcalcications":[171],"mammograms.":[173],"performance":[175],"studies":[176],"shown":[178,246],"potential":[180,225],"use":[181],"technique":[184,195,207],"environment.":[188],"used":[191,201],"profile":[193],"double-matching":[194],"initial":[197],"nodule":[198],"search":[199],"wavelet":[203],"high":[204],"pass":[205],"filtering":[206],"subtle":[210],"clustered":[211],"microcalcifications.":[212],"set":[214],"searching":[215],"parameters":[216],"at":[217],"highly":[219],"sensitive":[220],"level":[221],"identify":[223],"all":[224],"disease":[226,243],"areas.":[227],"acts":[233],"final":[236],"detection":[237],"classifier":[238],"determine":[240],"whether":[241],"area.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}
