{"id":"https://openalex.org/W2912166369","doi":"https://doi.org/10.1109/ivcnz.2018.8634803","title":"Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning","display_name":"Modality Classification and Concept Detection in Medical Images Using Deep Transfer Learning","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2912166369","doi":"https://doi.org/10.1109/ivcnz.2018.8634803","mag":"2912166369"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2018.8634803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5034653202","display_name":"Sonit Singh","orcid":"https://orcid.org/0000-0002-6485-131X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sonit Singh","raw_affiliation_strings":["DATA61, CSIRO, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DATA61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052414369","display_name":"Kevin Ho\u2010Shon","orcid":"https://orcid.org/0000-0003-2804-6281"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kevin Ho-Shon","raw_affiliation_strings":["Macquarie University Health Sciences Centre, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University Health Sciences Centre, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041251183","display_name":"Sarvnaz Karimi","orcid":"https://orcid.org/0000-0002-4927-3937"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sarvnaz Karimi","raw_affiliation_strings":["DATA61, CSIRO, Sydney, Australia","Data61, CSIRO, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DATA61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Data61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039882547","display_name":"Len Hamey","orcid":"https://orcid.org/0000-0001-8594-2176"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Len Hamey","raw_affiliation_strings":["Department of Computing, Macquarie University, Sydney, Australia","Department of Computing; Macquarie University; Sydney Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Department of Computing; Macquarie University; Sydney Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.166,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.84462073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9948999881744385,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.989799976348877,"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":0.8360697031021118},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.8006235361099243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7838938236236572},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7108933329582214},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.704170823097229},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6534813642501831},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6068828105926514},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5350291728973389},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5335913896560669},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.509302020072937},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49682357907295227},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4725867211818695},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4299834966659546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3388456404209137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10510614514350891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360697031021118},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8006235361099243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7838938236236572},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7108933329582214},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.704170823097229},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6534813642501831},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6068828105926514},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5350291728973389},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5335913896560669},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.509302020072937},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49682357907295227},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4725867211818695},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4299834966659546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3388456404209137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10510614514350891},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2018.8634803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W159049986","https://openalex.org/W1491576965","https://openalex.org/W1524416683","https://openalex.org/W1686810756","https://openalex.org/W2021331091","https://openalex.org/W2039051707","https://openalex.org/W2044465660","https://openalex.org/W2052684427","https://openalex.org/W2062118960","https://openalex.org/W2073982987","https://openalex.org/W2084134149","https://openalex.org/W2101234009","https://openalex.org/W2105894993","https://openalex.org/W2112796928","https://openalex.org/W2114315281","https://openalex.org/W2117539524","https://openalex.org/W2149706766","https://openalex.org/W2152772232","https://openalex.org/W2163605009","https://openalex.org/W2175082661","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2279689406","https://openalex.org/W2340646070","https://openalex.org/W2407369602","https://openalex.org/W2531409750","https://openalex.org/W2557738935","https://openalex.org/W2581082771","https://openalex.org/W2583567407","https://openalex.org/W2586665457","https://openalex.org/W2612445135","https://openalex.org/W2739836671","https://openalex.org/W2767899110","https://openalex.org/W2770241596","https://openalex.org/W2786846101","https://openalex.org/W2919115771","https://openalex.org/W2964275026","https://openalex.org/W2964350391","https://openalex.org/W3017143921","https://openalex.org/W4236137412","https://openalex.org/W4239510810","https://openalex.org/W4297775537","https://openalex.org/W4298222310","https://openalex.org/W4300485340","https://openalex.org/W6637373629","https://openalex.org/W6675354045","https://openalex.org/W6684191040","https://openalex.org/W6733436168","https://openalex.org/W6737664043","https://openalex.org/W6746693533"],"related_works":["https://openalex.org/W4295520087","https://openalex.org/W2821676139","https://openalex.org/W2237537322","https://openalex.org/W2950678851","https://openalex.org/W4301248618","https://openalex.org/W3043695725","https://openalex.org/W4382138864","https://openalex.org/W3176438653","https://openalex.org/W4387770285","https://openalex.org/W3022215768"],"abstract_inverted_index":{"Medical":[0],"image":[1],"classification":[2,47,90],"and":[3,12,17,33,130],"concept":[4,82,119],"detection":[5,83,120],"are":[6,152],"two":[7],"important":[8],"tasks":[9,22,145],"for":[10,80],"efficient":[11],"robust":[13],"medical":[14,27,30,107,156],"retrieval":[15],"systems":[16],"also":[18,60],"help":[19],"with":[20,71,75],"downstream":[21],"such":[23],"as":[24],"knowledge":[25],"discovery,":[26],"report":[28],"generation,":[29],"question":[31],"answering,":[32],"clinical":[34],"decision":[35],"making.":[36],"We":[37,59],"investigate":[38],"the":[39,45,62,65,81,88,98,106,118,124,155],"effectiveness":[40],"of":[41,64,68],"transfer":[42,94,149],"learning":[43,73,78,95,126,150],"on":[44,56,87,117,143],"modality":[46,89],"task":[48,91,121],"using":[49],"state-of-the-art":[50],"deep":[51,77,125,148],"convolutional":[52],"neural":[53],"networks":[54],"pretrained":[55],"generic":[57],"images.":[58],"compare":[61],"performance":[63],"traditional":[66],"pipeline":[67],"handcrafted":[69,137],"features":[70,79],"multi-label":[72],"algorithms":[74],"end-to-end":[76],"task.":[84],"Experimental":[85],"results":[86,116,142],"show":[92,122],"that":[93,123,147],"can":[96],"leverage":[97],"patterns":[99],"learned":[100],"from":[101],"large":[102],"training":[103],"data":[104,112,159],"to":[105,136],"domain":[108,157],"where":[109,158],"little":[110],"labeled":[111],"is":[113,160],"available.":[114],"Moreover,":[115],"approach":[127],"provides":[128],"better":[129],"more":[131],"powerful":[132],"feature":[133,138],"representations":[134],"compared":[135],"extraction":[139],"methods.":[140],"The":[141],"both":[144],"suggest":[146],"methods":[151],"effective":[153],"in":[154],"scarce.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}