{"id":"https://openalex.org/W3132455078","doi":"https://doi.org/10.1117/12.2580717","title":"Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets","display_name":"Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3132455078","doi":"https://doi.org/10.1117/12.2580717","mag":"3132455078"},"language":"en","primary_location":{"id":"doi:10.1117/12.2580717","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Digital Pathology","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/A5070915368","display_name":"Marcel Bengs","orcid":"https://orcid.org/0000-0002-2229-9547"},"institutions":[{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Bengs","raw_affiliation_strings":["Technische Univ. Hamburg-Harburg (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Univ. Hamburg-Harburg (Germany)","institution_ids":["https://openalex.org/I884043246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082541553","display_name":"Michael Bockmayr","orcid":"https://orcid.org/0000-0002-9249-4292"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I4210108711","display_name":"University Medical Center Hamburg-Eppendorf","ror":"https://ror.org/01zgy1s35","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]},{"id":"https://openalex.org/I4210108730","display_name":"Kinderkrebs-Zentrum Hamburg","ror":"https://ror.org/021924r89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210108730"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Bockmayr","raw_affiliation_strings":["Mildred School Cancer Career Ctr. HaTriCS4 (Germany)","Research Institute Children's Cancer Ctr. Hamburg (Germany)","Univ. Medical Ctr. Hamburg-Eppendorf (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mildred School Cancer Career Ctr. HaTriCS4 (Germany)","institution_ids":[]},{"raw_affiliation_string":"Research Institute Children's Cancer Ctr. Hamburg (Germany)","institution_ids":["https://openalex.org/I4210108730"]},{"raw_affiliation_string":"Univ. Medical Ctr. Hamburg-Eppendorf (Germany)","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070917396","display_name":"Ulrich Sch\u00fcller","orcid":"https://orcid.org/0000-0002-8731-1121"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I4210108711","display_name":"University Medical Center Hamburg-Eppendorf","ror":"https://ror.org/01zgy1s35","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]},{"id":"https://openalex.org/I4210108730","display_name":"Kinderkrebs-Zentrum Hamburg","ror":"https://ror.org/021924r89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210108730"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulrich Sch\u00fcller","raw_affiliation_strings":["Research Institute Children's Cancer Ctr. Hamburg (Germany)","Univ. Medical Ctr. Hamburg-Eppendorf (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute Children's Cancer Ctr. Hamburg (Germany)","institution_ids":["https://openalex.org/I4210108730"]},{"raw_affiliation_string":"Univ. Medical Ctr. Hamburg-Eppendorf (Germany)","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087348362","display_name":"Alexander Schlaefer","orcid":"https://orcid.org/0000-0001-9201-8854"},"institutions":[{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Schlaefer","raw_affiliation_strings":["Technische Univ. Hamburg-Harburg (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Univ. Hamburg-Harburg (Germany)","institution_ids":["https://openalex.org/I884043246"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9954000115394592,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9954000115394592,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9939000010490417,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7827289700508118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7753585577011108},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7466651797294617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6644070148468018},{"id":"https://openalex.org/keywords/medulloblastoma","display_name":"Medulloblastoma","score":0.5975723266601562},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5622591376304626},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5019803047180176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45357808470726013},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4204917550086975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3494302034378052},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.16734248399734497},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0812869668006897}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7827289700508118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753585577011108},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7466651797294617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6644070148468018},{"id":"https://openalex.org/C2780789225","wikidata":"https://www.wikidata.org/wiki/Q1333608","display_name":"Medulloblastoma","level":2,"score":0.5975723266601562},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5622591376304626},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5019803047180176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45357808470726013},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4204917550086975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3494302034378052},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.16734248399734497},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0812869668006897},{"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:10.1117/12.2580717","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2580717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Digital Pathology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3183901164","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Medulloblastoma":[0],"(MB)":[1],"is":[2,13,30,37],"the":[3,17,102,156],"most":[4],"common":[5],"malignant":[6],"brain":[7],"tumor":[8,46,83],"in":[9],"childhood.":[10],"The":[11],"diagnosis":[12],"generally":[14],"based":[15],"on":[16,99],"microscopic":[18],"evaluation":[19],"of":[20,27,122,158,174],"histopathological":[21,28],"tissue":[22],"slides.":[23],"However,":[24],"visual-only":[25],"assessment":[26],"patterns":[29],"a":[31,123,126],"tedious":[32],"and":[33,36,54,85,93,106],"time-consuming":[34],"task":[35],"also":[38],"affected":[39],"by":[40,51],"observer":[41],"variability.":[42],"Hence,":[43],"automated":[44],"MB":[45,82],"classification":[47,84],"could":[48],"assist":[49],"pathologists":[50],"promoting":[52],"consistency":[53],"robust":[55],"quantification.":[56],"Recently,":[57],"convolutional":[58],"neural":[59],"networks":[60],"(CNNs)":[61],"have":[62],"been":[63],"proposed":[64,115],"for":[65],"this":[66,76,109],"task,":[67],"while":[68],"transfer":[69,87,159],"learning":[70,88],"has":[71],"shown":[72],"promising":[73],"results.":[74],"In":[75],"work,":[77],"we":[78,111,132,154],"propose":[79],"an":[80,172],"end-to-end":[81],"explore":[86],"with":[89,129,137],"various":[90],"input":[91,139],"sizes":[92],"matching":[94],"network":[95],"dimensions.":[96],"We":[97],"focus":[98],"differentiating":[100],"between":[101],"histological":[103],"subtypes":[104],"classic":[105],"desmoplastic/nodular.":[107],"For":[108],"purpose,":[110],"systematically":[112],"evaluate":[113],"recently":[114],"EfficientNets,":[116],"which":[117],"uniformly":[118],"scale":[119],"all":[120],"dimensions":[121],"CNN.":[124],"Using":[125],"data":[127],"set":[128],"161":[130],"cases,":[131],"demonstrate":[133],"that":[134],"pre-trained":[135,150],"EfficientNets":[136],"larger":[138],"resolutions":[140],"lead":[141],"to":[142,147],"significant":[143],"performance":[144],"improvements":[145],"compared":[146],"commonly":[148],"used":[149],"CNN":[151],"architectures.":[152,165],"Also,":[153],"highlight":[155],"importance":[157],"learning,":[160],"when":[161],"using":[162],"such":[163],"large":[164],"Overall,":[166],"our":[167],"best":[168],"performing":[169],"method":[170],"achieves":[171],"F1-Score":[173],"80.1%.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}