{"id":"https://openalex.org/W4401750366","doi":"https://doi.org/10.1109/isbi56570.2024.10635415","title":"COMPYDA: An Online Tool for Verifying the Similarity of Image Datasets","display_name":"COMPYDA: An Online Tool for Verifying the Similarity of Image Datasets","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401750366","doi":"https://doi.org/10.1109/isbi56570.2024.10635415"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635415","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 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/A5032101878","display_name":"Tereza Ne\u010dasov\u00e1","orcid":"https://orcid.org/0000-0002-5896-2347"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Tereza Ne\u010dasov\u00e1","raw_affiliation_strings":["Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University,Brno,Czechia,602 00"],"affiliations":[{"raw_affiliation_string":"Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University,Brno,Czechia,602 00","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106638298","display_name":"Daniel M\u00fa\u010dka","orcid":null},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Daniel M\u00fa\u010dka","raw_affiliation_strings":["Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University,Brno,Czechia,602 00"],"affiliations":[{"raw_affiliation_string":"Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University,Brno,Czechia,602 00","institution_ids":["https://openalex.org/I21449261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060576521","display_name":"David Svoboda","orcid":"https://orcid.org/0000-0001-6074-0164"},"institutions":[{"id":"https://openalex.org/I21449261","display_name":"Masaryk University","ror":"https://ror.org/02j46qs45","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21449261"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"David Svoboda","raw_affiliation_strings":["Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University,Brno,Czechia,602 00"],"affiliations":[{"raw_affiliation_string":"Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University,Brno,Czechia,602 00","institution_ids":["https://openalex.org/I21449261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032101878"],"corresponding_institution_ids":["https://openalex.org/I21449261"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52417728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9952999949455261,"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/T10862","display_name":"AI in cancer detection","score":0.9918000102043152,"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":0.7165882587432861},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7102610468864441},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.581023097038269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47487661242485046},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40782296657562256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3779201805591583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3541998267173767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165882587432861},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7102610468864441},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.581023097038269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47487661242485046},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40782296657562256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3779201805591583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3541998267173767}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635415","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1553171952","https://openalex.org/W1968134962","https://openalex.org/W2044465660","https://openalex.org/W2107092366","https://openalex.org/W2123756340","https://openalex.org/W2194775991","https://openalex.org/W2461517348","https://openalex.org/W2804583541","https://openalex.org/W2806530968","https://openalex.org/W2945333368","https://openalex.org/W2961602927","https://openalex.org/W2963185411","https://openalex.org/W2991157178","https://openalex.org/W3201409833","https://openalex.org/W4254687493","https://openalex.org/W4285136168","https://openalex.org/W4285253190","https://openalex.org/W4377019739","https://openalex.org/W4387373548","https://openalex.org/W4399588929","https://openalex.org/W4399638148","https://openalex.org/W6765779288","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538","https://openalex.org/W2076713575","https://openalex.org/W2014996787"],"abstract_inverted_index":{"Nowadays,":[0],"when":[1],"the":[2,16,19,31,57,61,66,112],"vast":[3],"majority":[4],"of":[5,18,79,114,117],"biomedical":[6,80],"research":[7],"relies":[8],"on":[9],"machine":[10],"learning":[11],"methods,":[12,83],"paying":[13],"attention":[14],"to":[15,39,44,55,76,109,141],"meaningfulness":[17],"data":[20,50],"we":[21,36,97],"work":[22],"with":[23],"is":[24,27,33,151],"crucial.":[25],"This":[26,72],"especially":[28],"true":[29],"if":[30],"dataset":[32,139,145],"scarce":[34],"and":[35,64,130,133,137],"are":[37],"required":[38],"use":[40],"various":[41],"augmentation":[42],"techniques":[43],"enlarge":[45],"training":[46,78],"sets.":[47],"The":[48,149],"additional":[49],"are,":[51],"however,":[52],"not":[53],"guaranteed":[54],"have":[56],"same":[58],"characteristics":[59],"as":[60],"original":[62],"data,":[63],"therefore,":[65],"augmented":[67],"set":[68],"may":[69,85],"be":[70],"inconsistent.":[71],"can":[73],"subsequently":[74],"lead":[75],"incorrect":[77],"image":[81],"analysis":[82],"which":[84],"result":[86],"in":[87],"biased":[88],"classification,":[89],"detection,":[90],"segmentation,":[91],"or":[92],"tracking":[93],"results.In":[94],"this":[95],"paper,":[96],"present":[98],"an":[99],"online":[100],"tool":[101,150],"called":[102],"COMPYDA<sup":[103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>,":[105],"that":[106],"allows":[107],"users":[108,127],"easily":[110],"assess":[111],"similarity":[113],"a":[115,143],"pair":[116],"datasets":[118],"using":[119],"well-founded,":[120],"commonly":[121],"used":[122],"statistic":[123],"methods.":[124],"COMPYDA":[125],"guides":[126],"through":[128],"univariate":[129],"multivariate":[131],"analyses":[132],"helps":[134],"them":[135],"understand":[136],"explain":[138],"differences":[140],"ascertain":[142],"compatible":[144],"for":[146],"further":[147],"training.":[148],"available":[152],"at:":[153],"https://cbia.fi.muni.cz/compyda/":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
