{"id":"https://openalex.org/W2040403426","doi":"https://doi.org/10.1109/isbi.2014.6867809","title":"2309 skin conditions and crowd-sourced high-level knowledge dataset for building a computer aided diagnosis system","display_name":"2309 skin conditions and crowd-sourced high-level knowledge dataset for building a computer aided diagnosis system","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2040403426","doi":"https://doi.org/10.1109/isbi.2014.6867809","mag":"2040403426"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019828522","display_name":"Orod Razeghi","orcid":"https://orcid.org/0000-0003-4989-5565"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Orod Razeghi","raw_affiliation_strings":["VIPLab, University of Nottingham, Nottingham, United Kingdom","VIPLab, School of Computer Science University of Nottingham, Nottingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIPLab, University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"VIPLab, School of Computer Science University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114259459","display_name":"Guoping Qiu","orcid":"https://orcid.org/0000-0002-5877-5648"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guoping Qiu","raw_affiliation_strings":["VIPLab, University of Nottingham, Nottingham, United Kingdom","VIPLab, School of Computer Science University of Nottingham, Nottingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIPLab, University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"VIPLab, School of Computer Science University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9873999953269958,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9873999953269958,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9587000012397766,"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/T10057","display_name":"Face and Expression Recognition","score":0.9347000122070312,"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":0.7907757759094238},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5357394218444824},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5128157734870911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4837489128112793},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.44914510846138},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4318045973777771},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41243448853492737},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3619495630264282},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3491191565990448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7907757759094238},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5357394218444824},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5128157734870911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4837489128112793},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44914510846138},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4318045973777771},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41243448853492737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3619495630264282},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3491191565990448},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2014.6867809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.658.9507","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.658.9507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ima.ac.uk/wp-content/uploads/2014/09/Razeghi2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W32906731","https://openalex.org/W81841820","https://openalex.org/W131752867","https://openalex.org/W1512199071","https://openalex.org/W1525950725","https://openalex.org/W2066941820","https://openalex.org/W2103490241","https://openalex.org/W2153635508","https://openalex.org/W2911964244","https://openalex.org/W2964784650","https://openalex.org/W4285719527","https://openalex.org/W6603314971","https://openalex.org/W6605332189","https://openalex.org/W6675696936","https://openalex.org/W6997266731"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W1557905920","https://openalex.org/W2043093291","https://openalex.org/W2101155126"],"abstract_inverted_index":{"Worldwide,":[0],"it":[1],"is":[2],"believed":[3],"that":[4,130],"there":[5],"are":[6,16],"between":[7],"1000":[8],"to":[9,18,34,71,84,179],"2000":[10],"skin":[11,62],"conditions":[12],"of":[13,81,88,126,135,160,165,183],"which":[14],"20%":[15],"difficult":[17],"diagnose.":[19],"An":[20],"intelligent":[21],"computer-aided":[22],"diagnosing":[23],"system":[24],"not":[25],"only":[26],"helps":[27],"patients":[28],"with":[29],"no":[30],"or":[31],"little":[32],"access":[33],"health":[35],"services":[36],"but":[37],"also":[38],"can":[39],"benefit":[40],"typical":[41],"general":[42],"practitioners,":[43],"who":[44,122],"have":[45,51,141],"received":[46],"minimal":[47],"dermatology":[48],"training.":[49],"We":[50,140],"built":[52],"a":[53,89,124],"challenging":[54],"dataset":[55],"containing":[56],"2309":[57],"images":[58,83],"from":[59],"44":[60],"different":[61],"conditions.":[63],"As":[64],"most":[65],"state-of-the-art":[66],"visual":[67,102],"recognition":[68,98],"techniques":[69],"fail":[70],"perform":[72],"on":[73],"this":[74,153],"dataset,":[75],"we":[76,155],"provide":[77],"crowd-sourced":[78],"high-level":[79,109,147],"knowledge":[80,110,148],"these":[82],"enable":[85],"the":[86,92,132,138,143,146,157,181],"development":[87,182],"\u201chuman":[90],"in":[91,137],"loop\u201d":[93],"approach.":[94],"This":[95,169],"achieves":[96],"higher":[97],"rates":[99],"by":[100],"combining":[101],"features,":[103],"and":[104,145,163,171],"human":[105],"provided":[106],"information.":[107],"The":[108],"was":[111],"obtained":[112],"through":[113],"employing":[114],"361":[115],"\u201cAmazon":[116],"Mechanical":[117],"Turk\u201d":[118],"workers":[119],"(non-medical":[120],"experts),":[121],"answered":[123],"set":[125],"predefined":[127],"perceptual":[128],"questions":[129],"represents":[131],"humans'":[133],"understanding":[134],"lesions":[136],"images.":[139],"made":[142],"images,":[144],"information":[149],"publicly":[150],"available.":[151],"In":[152],"paper,":[154],"present":[156],"data,":[158],"methods":[159],"using":[161],"it,":[162],"performances":[164],"three":[166],"baseline":[167],"techniques.":[168,188],"paper":[170],"its":[172],"associated":[173],"data":[174],"will":[175],"be":[176],"very":[177],"useful":[178],"facilitate":[180],"computer":[184],"aided":[185],"medical":[186],"diagnostic":[187]},"counts_by_year":[{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
