{"id":"https://openalex.org/W4285024288","doi":"https://doi.org/10.1109/ivmsp54334.2022.9816325","title":"Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval","display_name":"Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4285024288","doi":"https://doi.org/10.1109/ivmsp54334.2022.9816325"},"language":"en","primary_location":{"id":"doi:10.1109/ivmsp54334.2022.9816325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmsp54334.2022.9816325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","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/A5012817544","display_name":"Zahra Tabatabaei","orcid":"https://orcid.org/0009-0006-7536-3772"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zahra Tabatabaei","raw_affiliation_strings":["Tyris Tech S.L.,Dept. of Artificial Intelligence,Valencia,Spain","Dept. of Artificial Intelligence, Tyris Tech S.L., Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Tyris Tech S.L.,Dept. of Artificial Intelligence,Valencia,Spain","institution_ids":[]},{"raw_affiliation_string":"Dept. of Artificial Intelligence, Tyris Tech S.L., Valencia, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019517367","display_name":"Adri\u00e1n Colomer","orcid":"https://orcid.org/0000-0002-7616-6029"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Adrian Colomer","raw_affiliation_strings":["Institute of Research and Innovation in Bioengineering, Universitat Politécnica de Valéncia,Valencia,Spain"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Innovation in Bioengineering, Universitat Politécnica de Valéncia,Valencia,Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068843545","display_name":"Kjersti Engan","orcid":"https://orcid.org/0000-0002-8970-0067"},"institutions":[{"id":"https://openalex.org/I92008406","display_name":"University of Stavanger","ror":"https://ror.org/02qte9q33","country_code":"NO","type":"education","lineage":["https://openalex.org/I92008406"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kjersti Engan","raw_affiliation_strings":["University of Stavanger,Department of Electrical Engineering and Computer Science,Norway","Department of Electrical Engineering and Computer Science, University of Stavanger, Norway"],"affiliations":[{"raw_affiliation_string":"University of Stavanger,Department of Electrical Engineering and Computer Science,Norway","institution_ids":["https://openalex.org/I92008406"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Stavanger, Norway","institution_ids":["https://openalex.org/I92008406"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073878549","display_name":"Javier Oliver","orcid":"https://orcid.org/0000-0002-8073-4711"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Oliver","raw_affiliation_strings":["Tyris Tech S.L.,Dept. of Artificial Intelligence,Valencia,Spain","Dept. of Artificial Intelligence, Tyris Tech S.L., Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Tyris Tech S.L.,Dept. of Artificial Intelligence,Valencia,Spain","institution_ids":[]},{"raw_affiliation_string":"Dept. of Artificial Intelligence, Tyris Tech S.L., Valencia, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043316752","display_name":"Valery Naranjo","orcid":"https://orcid.org/0000-0002-0181-3412"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Valery Naranjo","raw_affiliation_strings":["Institute of Research and Innovation in Bioengineering, Universitat Politécnica de Valéncia,Valencia,Spain"],"affiliations":[{"raw_affiliation_string":"Institute of Research and Innovation in Bioengineering, Universitat Politécnica de Valéncia,Valencia,Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012817544"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3142,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.8975028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9796000123023987,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9796000123023987,"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/computer-science","display_name":"Computer science","score":0.7124375104904175},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6441236734390259},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.539240300655365},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5116260647773743},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5061299204826355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49341073632240295},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4165191948413849},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37673577666282654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28102144598960876},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.15680581331253052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1340697705745697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124375104904175},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6441236734390259},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.539240300655365},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5116260647773743},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5061299204826355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49341073632240295},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4165191948413849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37673577666282654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28102144598960876},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.15680581331253052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1340697705745697},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivmsp54334.2022.9816325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivmsp54334.2022.9816325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W4390516098","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2132373020","https://openalex.org/W2096049278","https://openalex.org/W39762558"],"abstract_inverted_index":{"Approximately":[0],"12":[1],"percent":[2],"of":[3,16,96,111,120,146,164],"men":[4],"will":[5],"suffer":[6],"from":[7],"prostate":[8,97,130],"cancer":[9,18,98,131],"during":[10],"their":[11],"lifetime.":[12],"While":[13],"some":[14],"types":[15],"this":[17,59,115],"grow":[19],"slowly":[20],"and":[21,28,40,55,87,137,150,169],"need":[22],"minimal":[23],"treatment,":[24],"others":[25],"are":[26,46],"aggressive":[27],"spread":[29],"quickly.":[30],"In":[31,58],"order":[32],"to":[33,36,49,91,124,142],"be":[34],"able":[35],"provide":[37],"a":[38,61,78,84,88,122,126],"fast":[39],"accurate":[41],"diagnosis,":[42],"computer":[43],"vision":[44],"techniques":[45],"widely":[47],"used":[48],"help":[50],"pathologists":[51],"in":[52,99,104,129],"the":[53,93,109,112,117,144,147,151,158],"diagnosis":[54],"prognosis":[56],"tasks.":[57],"work,":[60],"new":[62],"Content-Based":[63],"Medical":[64],"Image":[65],"Retrieval":[66],"(CBMIR)":[67],"method":[68,160],"is":[69,74,116],"presented.":[70],"The":[71,153],"method,":[72],"which":[73],"named":[75],"ResCAE,":[76],"presents":[77],"modified":[79],"Convolutional":[80],"Auto-Encoder":[81],"(CAE)":[82],"with":[83],"residual":[85],"block":[86],"skip":[89],"layer":[90],"extract":[92],"relevant":[94],"features":[95],"Whole":[100],"Slide":[101],"Images":[102],"(WSIs)":[103],"SICAPv2":[105],"data":[106],"set.":[107],"To":[108],"best":[110],"author\u2019s":[113],"knowledge,":[114],"first":[118],"study":[119],"using":[121],"Res-CAE":[123],"perform":[125],"search":[127],"engine":[128],"images.":[132],"After":[133],"extracting":[134],"features,":[135],"Euclidean":[136],"Cosine":[138],"have":[139],"been":[140],"applied":[141],"calculate":[143],"similarity":[145],"query":[148],"image":[149],"gallery.":[152],"experimental":[154],"results":[155],"show":[156],"that":[157],"proposed":[159],"achieves":[161],"0.85,":[162],"0.78":[163],"accuracy":[165],"by":[166],"computing":[167],"7-top":[168],"5-top":[170],"accuracy,":[171],"respectively.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}