{"id":"https://openalex.org/W2436993881","doi":"https://doi.org/10.1109/isbi.2016.7493369","title":"A multi-view deep learning architecture for classification of breast microcalcifications","display_name":"A multi-view deep learning architecture for classification of breast microcalcifications","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2436993881","doi":"https://doi.org/10.1109/isbi.2016.7493369","mag":"2436993881"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","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/A5038570430","display_name":"Alan Joseph Bekker","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Alan Joseph Bekker","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078473649","display_name":"Hayit Greenspan","orcid":"https://orcid.org/0000-0001-6908-7552"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Hayit Greenspan","raw_affiliation_strings":["BioMedical Engineering, Tel-Aviv University, Israel"],"affiliations":[{"raw_affiliation_string":"BioMedical Engineering, Tel-Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005409420","display_name":"Jacob Goldberger","orcid":"https://orcid.org/0000-0002-2225-1914"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jacob Goldberger","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038570430"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":5.7645,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96183949,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"726","last_page":"730"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/computer-science","display_name":"Computer science","score":0.7610117793083191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7077016830444336},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7044199109077454},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.680974543094635},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.6321663856506348},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5449170470237732},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5378450751304626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47336646914482117},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4645974338054657},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.45686739683151245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43445873260498047},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43084716796875},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23442599177360535},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.1266154944896698},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11275386810302734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610117793083191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7077016830444336},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7044199109077454},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.680974543094635},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.6321663856506348},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5449170470237732},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5378450751304626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47336646914482117},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4645974338054657},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45686739683151245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43445873260498047},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43084716796875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23442599177360535},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.1266154944896698},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11275386810302734},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2016.7493369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W177004468","https://openalex.org/W1530247263","https://openalex.org/W1981131709","https://openalex.org/W2003304826","https://openalex.org/W2003363897","https://openalex.org/W2006500012","https://openalex.org/W2044465660","https://openalex.org/W2075693373","https://openalex.org/W2089172870","https://openalex.org/W2112270781","https://openalex.org/W2123696692","https://openalex.org/W2127589108","https://openalex.org/W2135128148","https://openalex.org/W2139428734","https://openalex.org/W2142476243","https://openalex.org/W2144854846","https://openalex.org/W2157364932","https://openalex.org/W2157757883","https://openalex.org/W2157825442","https://openalex.org/W2166441074","https://openalex.org/W2171590421","https://openalex.org/W6607184829"],"related_works":["https://openalex.org/W2557931800","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W3197491245","https://openalex.org/W1966034269","https://openalex.org/W2000845075","https://openalex.org/W1766776469","https://openalex.org/W2029515485","https://openalex.org/W1990413141","https://openalex.org/W2011788222"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"address":[4],"the":[5,19,72,81,95],"problem":[6],"of":[7,26],"differentiating":[8],"between":[9],"malignant":[10,33],"and":[11,21,32,43],"benign":[12,31],"tumors":[13],"based":[14,55],"on":[15,56,88,112],"their":[16],"appearance":[17],"in":[18],"CC":[20],"MLO":[22],"mammography":[23,101],"views.":[24],"Classification":[25],"clustered":[27],"breast":[28],"microcalcifications":[29],"into":[30,75],"categories":[34],"is":[35,54,86],"an":[36],"extremely":[37],"challenging":[38],"task":[39],"for":[40,99],"computerized":[41],"algorithms":[42],"expert":[44],"radiologists":[45],"alike.":[46],"We":[47],"describe":[48],"a":[49,67,76,89],"deep-learning":[50],"classification":[51],"method":[52,85],"that":[53,70,79,106],"two":[57,62],"view-level":[58],"decisions,":[59],"implemented":[60],"by":[61,66],"neural":[63],"networks,":[64],"followed":[65],"single-neuron":[68],"layer":[69],"combines":[71],"viewlevel":[73],"decisions":[74],"global":[77],"decision":[78],"mimics":[80],"biopsy":[82],"results.":[83],"Our":[84],"evaluated":[87],"large":[90],"multi-view":[91],"dataset":[92],"extracted":[93],"from":[94],"standardized":[96],"digital":[97],"database":[98],"screening":[100],"(DDSM).":[102],"Experimental":[103],"results":[104],"show":[105],"our":[107],"network":[108],"structure":[109],"significantly":[110],"improves":[111],"previously":[113],"suggested":[114],"methods.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}