{"id":"https://openalex.org/W2658383164","doi":"https://doi.org/10.1109/isbi.2017.7950480","title":"Classification of breast lesions using cross-modal deep learning","display_name":"Classification of breast lesions using cross-modal deep learning","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2658383164","doi":"https://doi.org/10.1109/isbi.2017.7950480","mag":"2658383164"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","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/A5043631215","display_name":"Omer Hadad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Omer Hadad","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056596963","display_name":"Ran Bakalo","orcid":"https://orcid.org/0000-0001-8457-2724"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ran Bakalo","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000712908","display_name":"Rami Ben\u2010Ari","orcid":"https://orcid.org/0000-0001-7162-7351"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Rami Ben-Ari","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085159082","display_name":"Sharbell Hashoul","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Sharbell Hashoul","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084959917","display_name":"Guy Amit","orcid":"https://orcid.org/0000-0002-5987-4402"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Guy Amit","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210167297"],"apc_list":null,"apc_paid":null,"fwci":4.7498,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.95893242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"112"},"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":0.9970999956130981,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7184562683105469},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7122827768325806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6570616960525513},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.642996609210968},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6191838979721069},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6112082004547119},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.606505274772644},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6047821640968323},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.5862568616867065},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5381371378898621},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.5220584869384766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5094833970069885},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48257341980934143},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4564197063446045},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43502047657966614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40443509817123413},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.16494962573051453},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12556755542755127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11633342504501343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184562683105469},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7122827768325806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6570616960525513},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.642996609210968},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6191838979721069},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6112082004547119},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.606505274772644},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6047821640968323},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.5862568616867065},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5381371378898621},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.5220584869384766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5094833970069885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48257341980934143},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4564197063446045},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43502047657966614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40443509817123413},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.16494962573051453},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12556755542755127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11633342504501343},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2017.7950480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","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":22,"referenced_works":["https://openalex.org/W1570613334","https://openalex.org/W1572222745","https://openalex.org/W1686810756","https://openalex.org/W1832115302","https://openalex.org/W1871050032","https://openalex.org/W2108598243","https://openalex.org/W2149933564","https://openalex.org/W2161381512","https://openalex.org/W2213831125","https://openalex.org/W2284539364","https://openalex.org/W2294923432","https://openalex.org/W2346062110","https://openalex.org/W2395579298","https://openalex.org/W2592950347","https://openalex.org/W2962835968","https://openalex.org/W3106033385","https://openalex.org/W4299518610","https://openalex.org/W6637373629","https://openalex.org/W6676297131","https://openalex.org/W6734285614","https://openalex.org/W6891821539","https://openalex.org/W7075650417"],"related_works":["https://openalex.org/W2407173965","https://openalex.org/W2488824286","https://openalex.org/W4388187645","https://openalex.org/W3176438653","https://openalex.org/W2366255134","https://openalex.org/W3168857173","https://openalex.org/W2106039119","https://openalex.org/W2330711938","https://openalex.org/W3092582177","https://openalex.org/W4323921180"],"abstract_inverted_index":{"Automatic":[0],"detection":[1],"and":[2,26,96],"classification":[3,106],"of":[4,49,64,71,77,111,118,147],"lesions":[5],"in":[6,31,80],"medical":[7,128],"images":[8],"is":[9,41],"a":[10,75,85,145],"desirable":[11],"goal,":[12],"with":[13,108],"numerous":[14],"clinical":[15,149],"applications.":[16],"In":[17],"breast":[18,81],"imaging,":[19],"multiple":[20],"modalities":[21],"such":[22],"as":[23],"X-ray,":[24],"ultrasound":[25],"MRI":[27,82],"are":[28],"often":[29],"used":[30],"the":[32,45,50,62,65,69,102,105,116,127],"diagnostic":[33],"workflow.":[34],"Training":[35],"robust":[36],"classifiers":[37],"for":[38],"each":[39],"modality":[40],"challenging":[42],"due":[43],"to":[44,55,60,133,143],"typically":[46],"small":[47],"size":[48],"available":[51],"datasets.":[52],"We":[53,67],"propose":[54],"use":[56],"cross-modal":[57,95],"transfer":[58,98,124],"learning":[59,99,125],"improve":[61],"robustness":[63],"classifiers.":[66],"demonstrate":[68],"potential":[70],"this":[72],"approach":[73],"on":[74,90],"problem":[76],"identifying":[78],"masses":[79],"images,":[83],"using":[84],"network":[86],"that":[87,101],"was":[88,121],"trained":[89],"mammography":[91],"images.":[92],"Comparison":[93],"between":[94],"cross-domain":[97],"showed":[100],"former":[103],"improved":[104],"performance,":[107],"overall":[109],"accuracy":[110,117],"0.93":[112],"versus":[113],"0.90,":[114],"while":[115],"de-novo":[119],"training":[120],"0.94.":[122],"Using":[123],"within":[126],"imaging":[129],"domain":[130],"may":[131],"help":[132],"produce":[134],"standard":[135],"pre-trained":[136],"shared":[137],"models,":[138],"which":[139],"can":[140],"be":[141],"utilized":[142],"solve":[144],"variety":[146],"specific":[148],"problems.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
