{"id":"https://openalex.org/W3164251887","doi":"https://doi.org/10.1109/isbi48211.2021.9434047","title":"Targeted Self Supervision For Classification On A Small Covid-19 Ct Scan Dataset","display_name":"Targeted Self Supervision For Classification On A Small Covid-19 Ct Scan Dataset","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3164251887","doi":"https://doi.org/10.1109/isbi48211.2021.9434047","mag":"3164251887"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9434047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th 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/A5020843310","display_name":"Nicolas Ewen","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nicolas Ewen","raw_affiliation_strings":["Data Science, Ryerson University, Toronto, ON"],"affiliations":[{"raw_affiliation_string":"Data Science, Ryerson University, Toronto, ON","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069518008","display_name":"Naimul Khan","orcid":"https://orcid.org/0000-0002-8229-0747"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Naimul Khan","raw_affiliation_strings":["Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON"],"affiliations":[{"raw_affiliation_string":"Electrical, Computer, and Biomedical Engineering, Ryerson University, Toronto, ON","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020843310"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":3.8487,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94038711,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1481","last_page":"1485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9807999730110168,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6791223287582397},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.648173451423645},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5185987949371338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43869033455848694},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4232184588909149},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4127095341682434},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37898147106170654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37179863452911377},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19022095203399658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6791223287582397},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.648173451423645},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5185987949371338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43869033455848694},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4232184588909149},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4127095341682434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37898147106170654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37179863452911377},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19022095203399658},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi48211.2021.9434047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9434047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2773533705","https://openalex.org/W2908052439","https://openalex.org/W2917435428","https://openalex.org/W2946503697","https://openalex.org/W2963446712","https://openalex.org/W2964744899","https://openalex.org/W3014337038","https://openalex.org/W3016794870","https://openalex.org/W3017243633","https://openalex.org/W3023371261","https://openalex.org/W3035524453","https://openalex.org/W3048424015","https://openalex.org/W3121279955","https://openalex.org/W6725739302","https://openalex.org/W6746630501","https://openalex.org/W6758354414","https://openalex.org/W6776523511"],"related_works":["https://openalex.org/W4205698903","https://openalex.org/W4400613637","https://openalex.org/W4294968941","https://openalex.org/W4283819461","https://openalex.org/W4390279739","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180"],"abstract_inverted_index":{"Traditionally,":[0],"convolutional":[1],"neural":[2],"networks":[3],"need":[4],"large":[5],"amounts":[6,26,96],"of":[7,22,27,32,78,87,91,97],"data":[8],"labelled":[9,28],"by":[10],"humans":[11],"to":[12,36,56,127,147],"train.":[13],"Self":[14],"supervision":[15,40,62,93,106,125,144,156,172],"has":[16],"been":[17],"proposed":[18,60,89,104],"as":[19],"a":[20,46,68,72,162],"method":[21,90],"dealing":[23],"with":[24,94,102,123,142],"small":[25,47,163],"data.":[29,98],"The":[30,99,151],"aim":[31],"this":[33,177],"study":[34,53],"is":[35,67],"determine":[37,57],"whether":[38,58],"self":[39,61,65,92,105,124,129,143,149,155,171],"can":[41,157,173],"increase":[42,120,135],"classification":[43,85,159],"performance":[44,86,160],"on":[45,121,161],"COVID-19":[48,73,164],"CT":[49,165],"scan":[50,166],"dataset.":[51,75,167],"This":[52],"also":[54],"aims":[55],"the":[59,84,88,103],"strategy,":[63],"targeted":[64,170],"supervision,":[66,130],"viable":[69],"option":[70],"for":[71,169],"imaging":[74],"A":[76],"total":[77],"10":[79],"experiments":[80,100],"are":[81],"run":[82,101,141],"comparing":[83],"different":[95],"strategy":[107],"perform":[108],"significantly":[109],"better":[110],"than":[111,133],"their":[112],"non-self":[113],"supervised":[114],"counterparts.":[115],"We":[116],"get":[117],"almost":[118],"6%":[119],"average":[122],"compared":[126,146],"no":[128,148],"and":[131],"more":[132],"8%":[134],"in":[136,138],"accuracy":[137],"our":[139],"best":[140],"when":[145],"supervision.":[150],"results":[152],"suggest":[153],"that":[154],"improve":[158],"Code":[168],"be":[174],"found":[175],"at":[176],"link:":[178],"https://github.com/Mewtwo/Targeted-SelfSupervision/tree/main/COVID-CT.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
