{"id":"https://openalex.org/W4225001112","doi":"https://doi.org/10.1109/isbi52829.2022.9761648","title":"Artifact Identification in Digital Histopathology Images Using Few-Shot Learning","display_name":"Artifact Identification in Digital Histopathology Images Using Few-Shot Learning","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4225001112","doi":"https://doi.org/10.1109/isbi52829.2022.9761648"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761648","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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/A5003373018","display_name":"Nazim N Shaikh","orcid":null},"institutions":[{"id":"https://openalex.org/I129302853","display_name":"Roche (United States)","ror":"https://ror.org/011qkaj49","country_code":"US","type":"company","lineage":["https://openalex.org/I118019719","https://openalex.org/I129302853"]},{"id":"https://openalex.org/I4210138427","display_name":"Computational Physics (United States)","ror":"https://ror.org/03grsxg62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138427"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nazim N Shaikh","raw_affiliation_strings":["Computational Pathology Lab,Computational Science & Informatics,Roche Diagnostics Solutions,Santa Clara,CA,USA","Roche Diagnostics Solutions, Computational Science & Informatics, Computational Pathology Lab, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Pathology Lab,Computational Science & Informatics,Roche Diagnostics Solutions,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210138427"]},{"raw_affiliation_string":"Roche Diagnostics Solutions, Computational Science & Informatics, Computational Pathology Lab, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I129302853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015326127","display_name":"Kamil Wasag","orcid":null},"institutions":[{"id":"https://openalex.org/I129302853","display_name":"Roche (United States)","ror":"https://ror.org/011qkaj49","country_code":"US","type":"company","lineage":["https://openalex.org/I118019719","https://openalex.org/I129302853"]},{"id":"https://openalex.org/I4210138427","display_name":"Computational Physics (United States)","ror":"https://ror.org/03grsxg62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138427"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamil Wasag","raw_affiliation_strings":["Computational Pathology Lab,Computational Science & Informatics,Roche Diagnostics Solutions,Santa Clara,CA,USA","Roche Diagnostics Solutions, Computational Science & Informatics, Computational Pathology Lab, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Pathology Lab,Computational Science & Informatics,Roche Diagnostics Solutions,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210138427"]},{"raw_affiliation_string":"Roche Diagnostics Solutions, Computational Science & Informatics, Computational Pathology Lab, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I129302853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039992067","display_name":"Yao Nie","orcid":"https://orcid.org/0000-0002-8609-3345"},"institutions":[{"id":"https://openalex.org/I129302853","display_name":"Roche (United States)","ror":"https://ror.org/011qkaj49","country_code":"US","type":"company","lineage":["https://openalex.org/I118019719","https://openalex.org/I129302853"]},{"id":"https://openalex.org/I4210138427","display_name":"Computational Physics (United States)","ror":"https://ror.org/03grsxg62","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138427"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Nie","raw_affiliation_strings":["Computational Pathology Lab,Computational Science & Informatics,Roche Diagnostics Solutions,Santa Clara,CA,USA","Roche Diagnostics Solutions, Computational Science & Informatics, Computational Pathology Lab, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Pathology Lab,Computational Science & Informatics,Roche Diagnostics Solutions,Santa Clara,CA,USA","institution_ids":["https://openalex.org/I4210138427"]},{"raw_affiliation_string":"Roche Diagnostics Solutions, Computational Science & Informatics, Computational Pathology Lab, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I129302853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7267,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69880732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9750000238418579,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9700999855995178,"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":0.7987117767333984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7573785781860352},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6064542531967163},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.604542076587677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5508008599281311},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.547616720199585},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5313632488250732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5199648141860962},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45003223419189453},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4431523084640503},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43856632709503174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.429193377494812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7987117767333984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7573785781860352},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6064542531967163},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.604542076587677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5508008599281311},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.547616720199585},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5313632488250732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5199648141860962},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45003223419189453},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4431523084640503},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43856632709503174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.429193377494812},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761648","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":11,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2601450892","https://openalex.org/W2605102252","https://openalex.org/W2945992886","https://openalex.org/W2959874569","https://openalex.org/W2984245108","https://openalex.org/W3026809105","https://openalex.org/W3104135675","https://openalex.org/W3104138698","https://openalex.org/W6735236233","https://openalex.org/W6785647280"],"related_works":["https://openalex.org/W3036827782","https://openalex.org/W1504972346","https://openalex.org/W2951194758","https://openalex.org/W2356087891","https://openalex.org/W2553152692","https://openalex.org/W2392126150","https://openalex.org/W1997609524","https://openalex.org/W1485522661","https://openalex.org/W2183514925","https://openalex.org/W2348439329"],"abstract_inverted_index":{"The":[0,136],"advent":[1],"of":[2,26,65,80,99,116,133],"deep":[3],"learning":[4,103,175],"methods":[5],"has":[6],"led":[7],"to":[8,41,48,75,142,145,172],"breakthroughs":[9],"in":[10,54,69],"many":[11],"digital":[12],"histopathology":[13,70],"image":[14,92,122],"analysis":[15,19],"tasks.":[16],"However,":[17],"automatic":[18],"is":[20,39,139,166],"often":[21],"impacted":[22],"by":[23,152],"the":[24,51,55,62,73,85,97,109,114,150],"presence":[25],"various":[27,126],"artifacts":[28,45,52,66,86,127],"introduced":[29],"during":[30],"different":[31],"tissue":[32],"and":[33,72,95,158],"slide":[34],"processing":[35],"stages.":[36],"Therefore,":[37],"it":[38,154,165],"desirable":[40],"have":[42],"a":[43,77,90,101,129,167],"generic":[44],"identification":[46,87],"algorithm":[47],"automatically":[49],"exclude":[50],"regions":[53],"downstream":[56],"analysis.":[57],"In":[58],"this":[59,177],"paper,":[60],"considering":[61],"wide":[63],"diversity":[64],"that":[67,113,124,164],"present":[68],"images,":[71,162],"difficulty":[74],"obtain":[76],"large":[78],"amount":[79],"training":[81,134],"data,":[82],"we":[83],"frame":[84],"task":[88],"as":[89],"tile-based":[91],"classification":[93],"problem":[94],"explore":[96],"feasibility":[98],"using":[100,128],"few-shot":[102],"technique,":[104],"specifically,":[105],"prototypical":[106,117],"network,":[107],"for":[108,176],"task.":[110],"We":[111,148],"demonstrate":[112],"use":[115],"network":[118],"can":[119],"effectively":[120],"identify":[121],"tiles":[123],"contain":[125],"very":[130],"small":[131],"set":[132],"images.":[135],"trained":[137],"model":[138],"also":[140],"able":[141],"generalize":[143],"well":[144],"unseen":[146],"artifacts.":[147],"validate":[149],"approach":[151,170],"applying":[153],"on":[155],"both":[156],"immunohistochemistry":[157],"H&E":[159],"stained":[160],"tissues":[161],"showing":[163],"more":[168],"favorable":[169],"compared":[171],"standard":[173],"transfer":[174],"application.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}