{"id":"https://openalex.org/W3205633403","doi":"https://doi.org/10.1109/iccvw54120.2021.00075","title":"Multi-Prototype Few-shot Learning in Histopathology","display_name":"Multi-Prototype Few-shot Learning in Histopathology","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3205633403","doi":"https://doi.org/10.1109/iccvw54120.2021.00075","mag":"3205633403"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw54120.2021.00075","doi":"https://doi.org/10.1109/iccvw54120.2021.00075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw54120.2021.00075","pdf_url":null,"source":{"id":"https://openalex.org/S4393918695","display_name":"IEEE International Conference on Computer Vision Workshops","issn_l":"2473-9936","issn":["2473-9936"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"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":"2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5016481694","display_name":"Jessica Deuschel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jessica Deuschel","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028518177","display_name":"Daniel Firmbach","orcid":"https://orcid.org/0009-0008-4952-0193","observed_orcids":["https://orcid.org/0009-0008-4952-0193"]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Firmbach","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108645389","display_name":"Carol Immanuel Geppert","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carol I. Geppert","raw_affiliation_strings":["Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210088053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086028372","display_name":"Markus Eckstein","orcid":"https://orcid.org/0000-0001-5418-3349","observed_orcids":["https://orcid.org/0000-0001-5418-3349"]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Eckstein","raw_affiliation_strings":["Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210088053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049585448","display_name":"Arndt Hartmann","orcid":"https://orcid.org/0000-0002-4860-4626","observed_orcids":["https://orcid.org/0000-0002-4860-4626"]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arndt Hartmann","raw_affiliation_strings":["Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210088053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044734798","display_name":"Volker Bruns","orcid":"https://orcid.org/0000-0001-7693-3542","observed_orcids":["https://orcid.org/0000-0001-7693-3542"]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Volker Bruns","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081294167","display_name":"Petr Kuritcyn","orcid":"https://orcid.org/0000-0003-2578-7754","observed_orcids":["https://orcid.org/0000-0003-2578-7754"]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Petr Kuritcyn","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066409108","display_name":"Jakob Dexl","orcid":"https://orcid.org/0000-0002-0617-0460","observed_orcids":["https://orcid.org/0000-0002-0617-0460"]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jakob Dexl","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":null,"display_name":"David Hartmann","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Hartmann","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018981520","display_name":"Dominik Perrin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dominik Perrin","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006735571","display_name":"Thomas C. Wittenberg","orcid":"https://orcid.org/0000-0003-0840-8695","observed_orcids":["https://orcid.org/0000-0003-0840-8695"]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wittenberg","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034378837","display_name":"Michaela Benz","orcid":"https://orcid.org/0000-0003-0625-4418","observed_orcids":["https://orcid.org/0000-0003-0625-4418"]},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michaela Benz","raw_affiliation_strings":["Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3498,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94129525,"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":"620","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.7163000106811523,"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":0.7163000106811523,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.2809999883174896,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.9860000014305115},{"id":"https://openalex.org/keywords/histopathology","display_name":"histopathology","score":0.8080000281333923},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"digital pathology","score":0.8149999976158142},{"id":"https://openalex.org/keywords/whole-slide-images","display_name":"whole slide images","score":0.671999990940094},{"id":"https://openalex.org/keywords/tissue-classification","display_name":"tissue classification","score":0.7329999804496765},{"id":"https://openalex.org/keywords/prototypical-networks","display_name":"prototypical networks","score":0.7670000195503235},{"id":"https://openalex.org/keywords/distribution-shift","display_name":"distribution shift","score":0.7319999933242798},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.7839999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7963722944259644},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.7750519514083862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7029752731323242},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6777875423431396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6487290859222412},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5636634230613708},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5540927648544312},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.541038990020752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5384120941162109},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.533872127532959},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.4737423360347748},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45411327481269836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4432085454463959},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4396980106830597},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41233810782432556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38323524594306946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3412100374698639},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07413649559020996},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw54120.2021.00075","doi":"https://doi.org/10.1109/iccvw54120.2021.00075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw54120.2021.00075","pdf_url":null,"source":{"id":"https://openalex.org/S4393918695","display_name":"IEEE International Conference on Computer Vision Workshops","issn_l":"2473-9936","issn":["2473-9936"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"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":"2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/504792","doi":null,"is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/504792","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2015563892","https://openalex.org/W2194775991","https://openalex.org/W2270409809","https://openalex.org/W2432717477","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2787035179","https://openalex.org/W2805481182","https://openalex.org/W2884745705","https://openalex.org/W2895899670","https://openalex.org/W2905076505","https://openalex.org/W2911504222","https://openalex.org/W2947087054","https://openalex.org/W2962887033","https://openalex.org/W2963341924","https://openalex.org/W2963943197","https://openalex.org/W2964105864","https://openalex.org/W2964250774","https://openalex.org/W2970850803","https://openalex.org/W2989893062","https://openalex.org/W3034942609","https://openalex.org/W3044305947","https://openalex.org/W3047806505","https://openalex.org/W3089090082","https://openalex.org/W3091905774","https://openalex.org/W3095314709","https://openalex.org/W3112486745","https://openalex.org/W3132071556","https://openalex.org/W3135585116","https://openalex.org/W6766092863"],"related_works":["https://openalex.org/W4399427003","https://openalex.org/W4394564372","https://openalex.org/W4410393375","https://openalex.org/W4386936418","https://openalex.org/W4401075417","https://openalex.org/W4225001112","https://openalex.org/W4386160095","https://openalex.org/W4281932055","https://openalex.org/W4388717994","https://openalex.org/W2959874569"],"abstract_inverted_index":{"The":[0,179],"ability":[1],"to":[2,5,42,83,91,142,162,172,227],"adapt":[3],"quickly":[4],"a":[6,15,19,43,61,72,77,85,99,107,111,122,143,192,208],"new":[7],"task":[8,210],"or":[9],"data":[10,95,198,218,233],"distribution":[11,44],"based":[12,96],"on":[13,97,106,152,215,230],"only":[14,98],"few":[16,100],"examples":[17],"is":[18,64,161,224],"challenge":[20],"in":[21,34,202],"AI":[22],"and":[23,37,127,147,196],"highly":[24,86],"relevant":[25],"for":[26,55,125,132,159,168,176,207],"various":[27],"domains.":[28],"In":[29],"digital":[30,177],"pathology,":[31],"slight":[32],"variations":[33],"the":[35,153,164,170,220,228,231],"scanning":[36],"staining":[38],"process":[39],"can":[40],"lead":[41],"shift":[45],"that":[46,89],"provokes":[47],"significant":[48],"performance":[49],"degradation":[50],"of":[51,80,114,211,234],"classical":[52],"neural":[53],"networks":[54],"tasks":[56],"like":[57],"tissue":[58,213],"cartography":[59],"where":[60],"reliable":[62],"classification":[63,209],"essential.":[65],"To":[66],"overcome":[67],"this":[68],"problem,":[69],"we":[70],"propose":[71],"few-shot":[73],"learning":[74],"technique,":[75],"specifically":[76],"k-means":[78],"extension":[79],"Prototypical":[81,148],"Networks,":[82,149],"train":[84],"flexible":[87],"model":[88],"adapts":[90],"new,":[92],"unseen":[93],"scanner":[94,124],"examples.":[101],"We":[102,134],"evaluate":[103],"our":[104,136],"approach":[105],"multi-scanner":[108],"database":[109],"comprising":[110],"total":[112],"amount":[113],"356":[115],"annotated":[116],"whole":[117],"slide":[118],"images":[119],"digitized":[120],"by":[121,139,184],"base":[123],"training":[126],"additional":[128],"five":[129],"different":[130],"scanners":[131],"evaluation.":[133],"verify":[135],"method\u2019s":[137],"effectiveness":[138],"comparing":[140],"it":[141],"classically":[144],"trained":[145,151],"benchmark":[146],"both":[150],"same":[154],"data.":[155],"A":[156],"particular":[157],"focus":[158],"us":[160],"investigate":[163],"support":[165,194],"set,":[166,195],"used":[167],"adapting":[169],"proto-types,":[171],"provide":[173],"recommended":[174],"actions":[175],"pathology.":[178],"best":[180],"results":[181,201],"are":[182],"obtained":[183],"employing":[185],"multiple":[186],"prototypes":[187],"per":[188],"class,":[189],"calculated":[190],"from":[191,219],"distributed":[193],"domain-specific":[197],"augmentation.":[199],"This":[200],"86.9":[203],"-":[204],"88.2%":[205],"accuracy":[206,229],"seven":[212],"classes":[214],"unseen,":[216],"shifted":[217],"automated":[221],"scanners,":[222],"which":[223],"almost":[225],"equal":[226],"in-distribution":[232],"89.2%.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":4}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2021-10-25T00:00:00"}
