{"id":"https://openalex.org/W4220946699","doi":"https://doi.org/10.1117/12.2612838","title":"Mammary duct detection using self-supervised encoders","display_name":"Mammary duct detection using self-supervised encoders","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4220946699","doi":"https://doi.org/10.1117/12.2612838"},"language":"en","primary_location":{"id":"doi:10.1117/12.2612838","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612838","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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/A5016157066","display_name":"Shannon Doyle","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I2898336195","display_name":"The Netherlands Cancer Institute","ror":"https://ror.org/03xqtf034","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2898336195"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Shannon Doyle","raw_affiliation_strings":["The Netherlands Cancer Institute (Netherlands)","Univ. of Amsterdam (Netherlands)"],"affiliations":[{"raw_affiliation_string":"The Netherlands Cancer Institute (Netherlands)","institution_ids":["https://openalex.org/I2898336195"]},{"raw_affiliation_string":"Univ. of Amsterdam (Netherlands)","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019525263","display_name":"Francesco Dal Canton","orcid":null},"institutions":[{"id":"https://openalex.org/I2898336195","display_name":"The Netherlands Cancer Institute","ror":"https://ror.org/03xqtf034","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2898336195"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Francesco Dal Canton","raw_affiliation_strings":["The Netherlands Cancer Institute (Netherlands)"],"affiliations":[{"raw_affiliation_string":"The Netherlands Cancer Institute (Netherlands)","institution_ids":["https://openalex.org/I2898336195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020517461","display_name":"Jelle Wesseling","orcid":"https://orcid.org/0000-0002-8940-2676"},"institutions":[{"id":"https://openalex.org/I2898336195","display_name":"The Netherlands Cancer Institute","ror":"https://ror.org/03xqtf034","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2898336195"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jelle Wesseling","raw_affiliation_strings":["The Netherlands Cancer Institute (Netherlands)"],"affiliations":[{"raw_affiliation_string":"The Netherlands Cancer Institute (Netherlands)","institution_ids":["https://openalex.org/I2898336195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081715147","display_name":"Clara I. S\u00e1\u200enchez","orcid":"https://orcid.org/0000-0001-9787-8319"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Clara I. S\u00e1nchez","raw_affiliation_strings":["Univ. of Amsterdam (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Univ. of Amsterdam (Netherlands)","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031023373","display_name":"Jonas Teuwen","orcid":"https://orcid.org/0000-0002-1825-1428"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]},{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]},{"id":"https://openalex.org/I2898336195","display_name":"The Netherlands Cancer Institute","ror":"https://ror.org/03xqtf034","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2898336195"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jonas Teuwen","raw_affiliation_strings":["Radboud Univ. Medical Ctr. (Netherlands)","The Netherlands Cancer Institute (Netherlands)","Univ. of Amsterdam (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]},{"raw_affiliation_string":"The Netherlands Cancer Institute (Netherlands)","institution_ids":["https://openalex.org/I2898336195"]},{"raw_affiliation_string":"Univ. of Amsterdam (Netherlands)","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016157066"],"corresponding_institution_ids":["https://openalex.org/I2898336195","https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":0.3222,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33017848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9589999914169312,"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/T10069","display_name":"Antenna Design and Analysis","score":0.9563999772071838,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6809258460998535},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5722849369049072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4766039252281189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3680507242679596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33466166257858276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6809258460998535},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5722849369049072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4766039252281189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3680507242679596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33466166257858276},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2612838","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612838","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2057418448","https://openalex.org/W2096283457","https://openalex.org/W2346062110","https://openalex.org/W3009561768","https://openalex.org/W3036224891","https://openalex.org/W3092481518","https://openalex.org/W3132123272","https://openalex.org/W3159481202","https://openalex.org/W3212889265","https://openalex.org/W4200179413","https://openalex.org/W6774670964","https://openalex.org/W6779997284","https://openalex.org/W6786085154","https://openalex.org/W6786147341","https://openalex.org/W6794655914"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Ductal":[0],"Carcinoma":[1],"in":[2,39,42,94,218,255,283],"Situ":[3],"(DCIS)":[4],"constitutes":[5],"20\u201325%":[6],"of":[7,33,69,72,76,81,84,97,113,121,172,190,195,227,280,285,293,314],"all":[8],"diagnosed":[9],"breast":[10,21,286],"cancers":[11],"and":[12,35,44,79,204,303,305,324],"is":[13,233,242],"a":[14],"well":[15,59],"known":[16],"potential":[17],"precursor":[18],"for":[19,27,91,248],"invasive":[20],"cancer.1":[22],"The":[23],"gold":[24],"standard":[25],"method":[26],"diagnosing":[28],"DCIS":[29,77],"involves":[30],"the":[31,95,110,119,164,170,210,221,225,278,291,312,327],"detection":[32,53,93,232,282],"calcifications":[34],"abnormal":[36],"cell":[37],"proliferation":[38],"mammary":[40],"ducts":[41],"Hematoxylin":[43],"Eosin":[45],"(H&E)":[46],"stained":[47],"whole-slide":[48],"images":[49,116],"(WSIs).":[50],"Automatic":[51],"duct":[52,281],"may":[54],"facilitate":[55],"this":[56,134],"task":[57,279],"as":[58,60,109,127],"downstream":[61,257],"applications":[62],"that":[63,239,251,273],"currently":[64],"require":[65],"tedious,":[66],"manual":[67],"annotation":[68],"ducts.":[70],"Examples":[71],"these":[73,191,294],"are":[74,102],"grading":[75],"lesions2":[78],"prediction":[80],"local":[82],"recurrence":[83],"DCIS.3":[85],"Several":[86],"methods":[87,268],"have":[88,150,178],"been":[89,179],"developed":[90],"object":[92,231],"field":[96],"deep":[98],"learning.":[99],"Such":[100],"models":[101,200],"typically":[103],"initialised":[104,201],"using":[105],"ImageNet":[106,149,165,196,205,275,300],"transfer-learning":[107],"features,":[108],"limited":[111],"availability":[112],"annotated":[114],"medical":[115],"has":[117],"hindered":[118],"creation":[120],"domain-specific":[122],"encoders.":[123,143,197],"Novel":[124],"techniques":[125],"such":[126],"self-supervised":[128],"learning":[129],"(SSL)":[130],"promise":[131],"to":[132,140,154,230,244],"overcome":[133],"problem":[135],"by":[136,322],"utilising":[137],"unlabelled":[138,148],"data":[139],"learn":[141],"feature":[142,174],"SSL":[144,228,249,267],"encoders":[145,175,192,206,250,321],"trained":[146],"on":[147,163,209,277,326],"demonstrated":[151],"SSL\u2019s":[152],"capacity":[153],"produce":[155],"meaningful":[156],"representations,":[157],"scoring":[158],"higher":[159],"than":[160],"supervised":[161],"features":[162,189],"1%":[166],"classification":[167,183,212],"task.4":[168],"In":[169,182,259],"domain":[171],"histopathology,":[173],"(Histo":[176],"encoders)":[177],"developed.5,":[180],"6":[181,223],"experiments":[184],"with":[185,202,299,318],"linear":[186],"regression,":[187],"frozen":[188],"outperformed":[193],"those":[194],"However,":[198],"when":[199],"histopathology":[203,296],"were":[207,215],"fine-tuned":[208],"same":[211,328],"tasks,":[213],"there":[214],"no":[216],"differences":[217],"performance":[219,254,292,313],"between":[220],"encoders.5,":[222],"Furthermore,":[224],"transferability":[226],"encodings":[229,297,317],"poorly":[234],"understood.4":[235],"These":[236],"findings":[237],"show":[238],"more":[240],"research":[241],"needed":[243],"develop":[245],"training":[246,306],"strategies":[247],"can":[252,269],"enhance":[253],"relevant":[256],"tasks.":[258],"our":[260,315],"study,":[261],"we":[262,310],"investigated":[263],"whether":[264],"current":[265],"state-of-the-art":[266],"provide":[270],"model":[271],"initialisations":[272],"outperform":[274],"pre-training":[276,301],"WSIs":[284],"tissue":[287],"resections.":[288],"We":[289],"compared":[290,311],"SSL-based":[295],"(Histo-SSL)":[298],"(supervised":[302],"self-supervised)":[304],"from":[307],"scratch.":[308],"Additionally,":[309],"Histo-SSL":[316],"published":[319],"Histo":[320],"Ciga5":[323],"Mormont6":[325],"task.":[329]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
