{"id":"https://openalex.org/W2741541775","doi":"https://doi.org/10.1080/21681163.2017.1350206","title":"A CNN based method for automatic mass detection and classification in mammograms","display_name":"A CNN based method for automatic mass detection and classification in mammograms","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741541775","doi":"https://doi.org/10.1080/21681163.2017.1350206","mag":"2741541775"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2017.1350206","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2017.1350206","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5041055356","display_name":"Ayelet Akselrod-Ballin","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":true,"raw_author_name":"Ayelet Akselrod-Ballin","raw_affiliation_strings":["IBM Research , Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"IBM Research , Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020676344","display_name":"Leonid Karlinsky","orcid":"https://orcid.org/0000-0003-2524-2068"},"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":"Leonid Karlinsky","raw_affiliation_strings":["IBM Research , Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"IBM Research , Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070948512","display_name":"Sharon Alpert","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":"Sharon Alpert","raw_affiliation_strings":["IBM Research , Haifa, Israel"],"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"],"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"],"affiliations":[{"raw_affiliation_string":"IBM Research , Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087885322","display_name":"Ella Barkan","orcid":"https://orcid.org/0000-0001-6521-3873"},"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":"Ella Barkan","raw_affiliation_strings":["IBM Research , Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"IBM Research , Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041055356"],"corresponding_institution_ids":["https://openalex.org/I4210167297"],"apc_list":null,"apc_paid":null,"fwci":2.1452,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90386412,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":"3","first_page":"242","last_page":"249"},"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9883000254631042,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9825000166893005,"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":0.7826314568519592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7099370956420898},{"id":"https://openalex.org/keywords/bi-rads","display_name":"BI-RADS","score":0.6817048192024231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6260906457901001},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5791851878166199},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5627651214599609},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5274004340171814},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5231857895851135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5006663799285889},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43452176451683044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33796215057373047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3257151246070862},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.25986945629119873},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14573699235916138},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.08031228184700012}],"concepts":[{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7826314568519592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099370956420898},{"id":"https://openalex.org/C2779098232","wikidata":"https://www.wikidata.org/wiki/Q903975","display_name":"BI-RADS","level":5,"score":0.6817048192024231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6260906457901001},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5791851878166199},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5627651214599609},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5274004340171814},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5231857895851135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5006663799285889},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43452176451683044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33796215057373047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3257151246070862},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.25986945629119873},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14573699235916138},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.08031228184700012},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2017.1350206","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2017.1350206","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W177004468","https://openalex.org/W304373761","https://openalex.org/W1487583988","https://openalex.org/W1538915096","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1972626213","https://openalex.org/W2007930540","https://openalex.org/W2043103956","https://openalex.org/W2068730032","https://openalex.org/W2088049833","https://openalex.org/W2102605133","https://openalex.org/W2115763357","https://openalex.org/W2124386111","https://openalex.org/W2133923351","https://openalex.org/W2158294624","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2216351247","https://openalex.org/W2240965754","https://openalex.org/W2284539364","https://openalex.org/W2425224815","https://openalex.org/W2951548327","https://openalex.org/W2953106684","https://openalex.org/W2963037989","https://openalex.org/W3097096317"],"related_works":["https://openalex.org/W2318867276","https://openalex.org/W2321646169","https://openalex.org/W2734546824","https://openalex.org/W3208212708","https://openalex.org/W2384277228","https://openalex.org/W316473529","https://openalex.org/W3012112151","https://openalex.org/W3185156046","https://openalex.org/W4223555864","https://openalex.org/W2922305141"],"abstract_inverted_index":{"A":[0],"novel":[1],"system":[2,15],"for":[3],"detection":[4,30,62],"and":[5,31,63,77,93,104],"classification":[6,32,65],"of":[7,33,41,106],"masses":[8,34],"in":[9,48,108,126],"breast":[10,18,49],"mammography":[11,50],"is":[12,69],"introduced.":[13],"The":[14,67],"integrates":[16],"a":[17,23,72,120],"segmentation":[19],"module":[20],"together":[21],"with":[22],"modified":[24],"region-based":[25],"convolutional":[26],"network":[27,99],"to":[28,36,58,79,112],"obtain":[29],"according":[35],"BI-RADS":[37],"score.":[38],"While":[39],"most":[40],"the":[42,61,64,90,97,102],"previous":[43],"work":[44],"on":[45,53,71,123],"mass":[46],"identification":[47],"has":[51],"focused":[52],"classification,":[54],"this":[55],"study":[56],"proposes":[57],"solve":[59],"both":[60],"problems.":[66],"method":[68],"evaluated":[70],"large":[73],"multi-centre":[74],"clinical":[75],"data-set":[76],"compared":[78],"ground":[80],"truth":[81],"annotated":[82],"by":[83,96],"expert":[84],"radiologists.":[85],"Preliminary":[86],"experimental":[87],"results":[88],"show":[89],"high":[91],"accuracy":[92],"efficiency":[94],"obtained":[95],"suggested":[98],"structure.":[100],"As":[101],"volume":[103],"complexity":[105],"data":[107],"health":[109],"care":[110,125],"continues":[111],"accelerate":[113],"generalising":[114],"such":[115],"an":[116],"approach":[117],"may":[118],"have":[119],"profound":[121],"impact":[122],"patient":[124],"many":[127],"applications.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}