{"id":"https://openalex.org/W2122148524","doi":"https://doi.org/10.1109/cbmi.2014.6849815","title":"Unsupervised feature learning for content-based histopathology image retrieval","display_name":"Unsupervised feature learning for content-based histopathology image retrieval","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2122148524","doi":"https://doi.org/10.1109/cbmi.2014.6849815","mag":"2122148524"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2014.6849815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2014.6849815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)","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/A5102750774","display_name":"Jorge A. Vanegas","orcid":"https://orcid.org/0000-0001-7774-3564"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Jorge A. Vanegas","raw_affiliation_strings":["MindLAB Research Group, Universidad Nacional de Colombia","MindLAB Res. Group, Univ. Nac. de Colombia, Bogota, Colombia"],"affiliations":[{"raw_affiliation_string":"MindLAB Research Group, Universidad Nacional de Colombia","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"MindLAB Res. Group, Univ. Nac. de Colombia, Bogota, Colombia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030925233","display_name":"John Ar\u00e9valo","orcid":"https://orcid.org/0000-0002-1138-5036"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"John Arevalo","raw_affiliation_strings":["MindLAB Research Group, Universidad Nacional de Colombia","MindLAB Res. Group, Univ. Nac. de Colombia, Bogota, Colombia"],"affiliations":[{"raw_affiliation_string":"MindLAB Research Group, Universidad Nacional de Colombia","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"MindLAB Res. Group, Univ. Nac. de Colombia, Bogota, Colombia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080973347","display_name":"Fabio A. Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-9009-7288"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Fabio A. Gonzalez","raw_affiliation_strings":["MindLAB Research Group, Universidad Nacional de Colombia","MindLAB Res. Group, Univ. Nac. de Colombia, Bogota, Colombia"],"affiliations":[{"raw_affiliation_string":"MindLAB Research Group, Universidad Nacional de Colombia","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"MindLAB Res. Group, Univ. Nac. de Colombia, Bogota, Colombia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102750774"],"corresponding_institution_ids":["https://openalex.org/I36243813"],"apc_list":null,"apc_paid":null,"fwci":0.7414,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77352502,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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":0.9914000034332275,"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/image-retrieval","display_name":"Image retrieval","score":0.7767090797424316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7221398949623108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6965376138687134},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.616316556930542},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6150494813919067},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.6137914657592773},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6136845350265503},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5977950096130371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5663900375366211},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4692889153957367},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45327484607696533},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.45263588428497314},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.44850507378578186},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40694183111190796}],"concepts":[{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7767090797424316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7221398949623108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6965376138687134},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.616316556930542},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6150494813919067},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.6137914657592773},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6136845350265503},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5977950096130371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5663900375366211},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4692889153957367},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45327484607696533},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.45263588428497314},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.44850507378578186},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40694183111190796},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2014.6849815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2014.6849815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1615295117","https://openalex.org/W1625255723","https://openalex.org/W1932469787","https://openalex.org/W1965451568","https://openalex.org/W2028372034","https://openalex.org/W2032679776","https://openalex.org/W2038233937","https://openalex.org/W2046781710","https://openalex.org/W2053774107","https://openalex.org/W2060766886","https://openalex.org/W2084369411","https://openalex.org/W2085042456","https://openalex.org/W2095569536","https://openalex.org/W2104457585","https://openalex.org/W2112274848","https://openalex.org/W2130660124","https://openalex.org/W2130855892","https://openalex.org/W2163922914","https://openalex.org/W2396976214","https://openalex.org/W2914885528","https://openalex.org/W6636494156","https://openalex.org/W6675513952","https://openalex.org/W6676759488","https://openalex.org/W6712185225"],"related_works":["https://openalex.org/W2573424097","https://openalex.org/W2031096531","https://openalex.org/W826460979","https://openalex.org/W2186643570","https://openalex.org/W2798760230","https://openalex.org/W1984753464","https://openalex.org/W3197447665","https://openalex.org/W4327774125","https://openalex.org/W2602624304","https://openalex.org/W2590792214"],"abstract_inverted_index":{"This":[0,47],"paper":[1],"proposes":[2],"a":[3,52,80,102,115],"strategy":[4,98],"for":[5,79,121],"content-based":[6],"image":[7,69,73,94,105],"retrieval,":[8],"which":[9,56,86],"combines":[10],"unsupervised":[11],"feature":[12],"learning":[13],"(UFL)":[14],"with":[15,91],"the":[16,43,88,111],"classical":[17,29],"bag-of-features":[18],"(BOF)":[19],"representation.":[20],"In":[21],"BOF,":[22],"patches":[23],"are":[24],"usually":[25],"represented":[26],"using":[27],"standard":[28],"descriptors":[30],"(i.e.,":[31],"SIFT,":[32],"SURF,":[33],"DCT,":[34],"among":[35],"others).We":[36],"propose":[37],"to":[38,41],"use":[39],"UFL":[40,54],"learn":[42],"patch":[44],"representation":[45,74,90,113],"itself.":[46],"is":[48,75,99],"achieved":[49],"by":[50],"applying":[51],"topographic":[53],"method,":[55],"automatically":[57],"learns":[58],"visual":[59,89],"invariance":[60],"properties":[61],"of":[62],"color,":[63],"scale":[64],"and":[65],"rotation":[66],"from":[67,93],"an":[68],"collection.":[70],"The":[71,96],"learned":[72,112],"used":[76],"as":[77],"input":[78],"multimodal":[81],"latent":[82],"semantic":[83],"indexing":[84],"system,":[85],"enriches":[87],"semantics":[92],"annotations.":[95],"overall":[97],"evaluated":[100],"in":[101,118],"particular":[103,123],"histopathology":[104],"collection":[106],"retrieval":[107,119],"task,":[108],"showing":[109],"that":[110],"has":[114],"positive":[116],"impact":[117],"performance":[120],"this":[122],"task.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}