{"id":"https://openalex.org/W8820239","doi":null,"title":"ImageCLEF 2010 Working Notes on the Modality Classification Subtask.","display_name":"ImageCLEF 2010 Working Notes on the Modality Classification Subtask.","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W8820239","mag":"8820239"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.173.2561","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.173.2561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://clef2010.org/resources/proceedings/clef2010labs_submission_45.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5009329299","display_name":"Olivier Pauly","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Olivier Pauly","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042645593","display_name":"Diana Mateus","orcid":"https://orcid.org/0000-0002-2252-8717","observed_orcids":["https://orcid.org/0000-0002-2252-8717"]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Diana Mateus","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":"https://orcid.org/0000-0002-2252-8717","affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046896448","display_name":"Nassir Navab","orcid":"https://orcid.org/0000-0002-6032-5611","observed_orcids":["https://orcid.org/0000-0002-6032-5611"]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nassir Navab","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":"https://orcid.org/0000-0002-6032-5611","affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.9918,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78615442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.0005000000237487257,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/global-image-descriptors","display_name":"global image descriptors","score":0.6660000085830688},{"id":"https://openalex.org/keywords/phase-congruency","display_name":"phase congruency","score":0.9670000076293945},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9769999980926514},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9980000257492065},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.6710000038146973},{"id":"https://openalex.org/keywords/cross-validation","display_name":"cross-validation","score":0.6600000262260437}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8457524180412292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403600811958313},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6213614344596863},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5964866280555725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47744637727737427},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32746896147727966},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.173.2561","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.173.2561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://clef2010.org/resources/proceedings/clef2010labs_submission_45.pdf","raw_type":"text"},{"id":"mag:8820239","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1176/CLEF2010wn-ImageCLEF-PaulyEt2010.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1962010357","https://openalex.org/W1973976434","https://openalex.org/W2031823405","https://openalex.org/W2049694710","https://openalex.org/W2145295623","https://openalex.org/W2167034998","https://openalex.org/W2911964244","https://openalex.org/W2917052689","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W341929421","https://openalex.org/W7096415246","https://openalex.org/W7096217438","https://openalex.org/W2012982728","https://openalex.org/W1530691440","https://openalex.org/W2240930943","https://openalex.org/W6989972297","https://openalex.org/W2403167886","https://openalex.org/W53109105","https://openalex.org/W2105894993"],"abstract_inverted_index":{"Abstract.":[0],"The":[1],"goal":[2],"of":[3,11,24,107,139,159],"this":[4,32],"work":[5],"is":[6],"to":[7,20,95,110],"investigate":[8],"the":[9,22,25,53,112,116],"performance":[10,152],"classical":[12],"methods":[13],"for":[14,42,115],"feature":[15,76],"description":[16],"and":[17,19,73,89,137,147,153,162],"classification,":[18],"identify":[21],"difficulties":[23],"ImageCLEF":[26],"2010":[27],"modality":[28,49],"classification":[29,82],"subtask.":[30],"In":[31],"paper,":[33],"we":[34,61,119],"describe":[35],"different":[36,48,59,81,117],"approaches":[37,83],"based":[38,84,143],"on":[39,63,85,103,128,144],"visual":[40],"information":[41],"classifying":[43],"medical":[44],"images":[45,56,109],"into":[46],"8":[47],"classes.":[50],"Since":[51],"within":[52],"same":[54],"class,":[55],"depict":[57],"very":[58],"objects,":[60],"focus":[62],"global":[64],"descriptors":[65],"such":[66],"as":[67],"histograms":[68],"extracted":[69],"from":[70],"scale-space,":[71],"log-Gabor":[72],"phase":[74],"congruency":[75],"images.":[77],"We":[78],"also":[79],"investigated":[80],"support":[86],"vector":[87],"machines":[88],"random":[90,148],"forests.":[91],"A":[92],"grid-search":[93],"associated":[94],"a":[96,104,129],"10":[97],"folds":[98],"cross-validation":[99],"has":[100],"been":[101,124],"performed":[102],"balanced":[105],"set":[106],"2390":[108],"find":[111],"best":[113,151],"hyperparameters":[114],"models":[118],"propose.":[120],"All":[121],"experiments":[122],"have":[123],"conducted":[125],"with":[126,131],"MATLAB":[127],"Workstation":[130],"Intel":[132],"Duo":[133],"Core":[134],"3.16":[135],"Ghz":[136],"4Gb":[138],"RAM.":[140],"Our":[141],"approach":[142],"simple":[145],"SVM":[146],"forests":[149],"give":[150],"achieve":[154],"respectively":[155],"an":[156],"overall":[157],"f-measure":[158],"74.13":[160],"%":[161],"73.59%.":[163],"1":[164]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}