{"id":"https://openalex.org/W3206712106","doi":"https://doi.org/10.3233/faia210150","title":"Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques","display_name":"Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W3206712106","doi":"https://doi.org/10.3233/faia210150","mag":"3206712106"},"language":"en","primary_location":{"id":"doi:10.3233/faia210150","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210150","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210150","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210150","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001964059","display_name":"Loay Hassan","orcid":"https://orcid.org/0000-0003-3877-8304"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Loay Hassan","raw_affiliation_strings":["Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098441566","display_name":"Mohamed Abedl-Nasser","orcid":null},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mohamed Abedl-Nasser","raw_affiliation_strings":["Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027591625","display_name":"Adel Saleh","orcid":"https://orcid.org/0000-0001-5502-100X"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Adel Saleh","raw_affiliation_strings":["Gaist Solutions Ltd., Skipton BD23 2TZ, UK","Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Gaist Solutions Ltd., Skipton BD23 2TZ, UK","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004665770","display_name":"Dom\u00e8nec Puig","orcid":"https://orcid.org/0000-0002-0562-4205"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universidad Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Domenec Puig","raw_affiliation_strings":["Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001964059"],"corresponding_institution_ids":["https://openalex.org/I55952717"],"apc_list":null,"apc_paid":null,"fwci":1.032,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79267636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9914000034332275,"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/deep-learning","display_name":"Deep learning","score":0.7182936668395996},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6647224426269531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6262038946151733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5728359222412109},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5401953458786011},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5139619708061218},{"id":"https://openalex.org/keywords/unavailability","display_name":"Unavailability","score":0.4562564492225647},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.42602819204330444},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4201413691043854},{"id":"https://openalex.org/keywords/breast-cancer-screening","display_name":"Breast cancer screening","score":0.4164761006832123},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.41101551055908203},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.34957069158554077},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30430489778518677},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.19935518503189087},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09392562508583069},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.05938595533370972}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7182936668395996},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6647224426269531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262038946151733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5728359222412109},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5401953458786011},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5139619708061218},{"id":"https://openalex.org/C2780505938","wikidata":"https://www.wikidata.org/wiki/Q17093282","display_name":"Unavailability","level":2,"score":0.4562564492225647},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.42602819204330444},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4201413691043854},{"id":"https://openalex.org/C2778491387","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"Breast cancer screening","level":5,"score":0.4164761006832123},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.41101551055908203},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34957069158554077},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30430489778518677},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.19935518503189087},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09392562508583069},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.05938595533370972},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia210150","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210150","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210150","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia210150","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210150","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210150","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206712106.pdf","grobid_xml":"https://content.openalex.org/works/W3206712106.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W58141266","https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1984634678","https://openalex.org/W1988819287","https://openalex.org/W2039674374","https://openalex.org/W2054671076","https://openalex.org/W2607941059","https://openalex.org/W2737777915","https://openalex.org/W2777356512","https://openalex.org/W2911426462","https://openalex.org/W2963037989","https://openalex.org/W2994949497","https://openalex.org/W3004081379","https://openalex.org/W3018757597","https://openalex.org/W3032638707","https://openalex.org/W3043995050","https://openalex.org/W3098534206","https://openalex.org/W3104514312","https://openalex.org/W3118741877","https://openalex.org/W3144321749","https://openalex.org/W4287598727"],"related_works":["https://openalex.org/W3122972499","https://openalex.org/W3210520975","https://openalex.org/W2105667964","https://openalex.org/W2076908053","https://openalex.org/W3215153804","https://openalex.org/W1967579262","https://openalex.org/W2033683555","https://openalex.org/W2120277115","https://openalex.org/W1994267236","https://openalex.org/W2416467559"],"abstract_inverted_index":{"Digital":[0],"breast":[1,9,22,43,76,122,129],"tomosynthesis":[2],"(DBT)":[3],"is":[4],"one":[5],"of":[6,18,28,59,85],"the":[7,16,26,57,83,113,121],"powerful":[8],"cancer":[10],"screening":[11],"technologies.":[12],"DBT":[13,54,62,109],"can":[14,118],"improve":[15,120],"ability":[17],"radiologists":[19],"to":[20,41,56],"detect":[21,42],"cancer,":[23],"especially":[24],"in":[25,45],"case":[27],"dense":[29],"breasts,":[30],"where":[31],"it":[32],"beats":[33],"mammography.":[34],"Although":[35],"many":[36],"automated":[37,74],"methods":[38,50],"were":[39,51],"proposed":[40,52],"lesions":[44],"mammographic":[46],"images,":[47],"very":[48],"few":[49],"for":[53,64,126],"due":[55],"unavailability":[58],"enough":[60],"annotated":[61],"images":[63],"training":[65],"object":[66],"detectors.":[67,131],"In":[68],"this":[69],"paper,":[70],"we":[71,81],"present":[72],"fully":[73],"deep-learning":[75],"lesion":[77,123,130],"detection":[78,99,124],"methods.":[79],"Specifically,":[80],"study":[82],"effectiveness":[84],"two":[86],"data":[87,115],"augmentation":[88,116],"techniques":[89],"(channel":[90],"replication":[91],"and":[92],"channel-concatenation)":[93],"with":[94],"five":[95],"state-of-the-art":[96],"deep":[97,127],"learning":[98],"models.":[100],"Our":[101],"preliminary":[102],"results":[103,125],"on":[104],"a":[105],"challenging":[106],"publically":[107],"available":[108],"dataset":[110],"showed":[111],"that":[112],"channel-concatenation":[114],"technique":[117],"significantly":[119],"learning-based":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}