{"id":"https://openalex.org/W2630687088","doi":"https://doi.org/10.1109/isbi.2017.7950695","title":"Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks","display_name":"Exploring texture Transfer Learning for Colonic Polyp Classification via Convolutional Neural Networks","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2630687088","doi":"https://doi.org/10.1109/isbi.2017.7950695","mag":"2630687088"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","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/A5101641076","display_name":"Eduardo Ribeiro","orcid":"https://orcid.org/0000-0001-9280-4345"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]},{"id":"https://openalex.org/I41458283","display_name":"Universidade Federal do Tocantins","ror":"https://ror.org/053xy8k29","country_code":"BR","type":"education","lineage":["https://openalex.org/I41458283"]}],"countries":["AT","BR"],"is_corresponding":false,"raw_author_name":"Eduardo Ribeiro","raw_affiliation_strings":["Department of Computer Sciences, Federal University of Tocantins, Tocantins, BR","Department of Computer Sciences, University of Salzburg, Salzburg, AT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Federal University of Tocantins, Tocantins, BR","institution_ids":["https://openalex.org/I41458283"]},{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, AT","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022175835","display_name":"Michael H\u00e4fner","orcid":"https://orcid.org/0000-0002-2765-6689"},"institutions":[{"id":"https://openalex.org/I4210086638","display_name":"St. Elisabeth Hospital","ror":"https://ror.org/003mpgw14","country_code":"CW","type":"healthcare","lineage":["https://openalex.org/I4210086638"]}],"countries":["CW"],"is_corresponding":false,"raw_author_name":"Michael Hafner","raw_affiliation_strings":["St. Elisabeth Hospital, Viennam, AT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Elisabeth Hospital, Viennam, AT","institution_ids":["https://openalex.org/I4210086638"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007045083","display_name":"Georg Wimmer","orcid":"https://orcid.org/0000-0001-5529-0154"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Georg Wimmer","raw_affiliation_strings":["Department of Computer Sciences, University of Salzburg, Salzburg, AT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, AT","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068412717","display_name":"Toru Tamaki","orcid":"https://orcid.org/0000-0001-9712-7777"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Tamaki","raw_affiliation_strings":["Department of Information Engineering, Hiroshima University, Hiroshima, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Hiroshima University, Hiroshima, JP","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113861087","display_name":"Jens J. W. Tischendorf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.J.W. Tischendorf","raw_affiliation_strings":["RWTH Aachen University Hospital, Medical Department III, DE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RWTH Aachen University Hospital, Medical Department III, DE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102981994","display_name":"Shigeto Yoshida","orcid":"https://orcid.org/0000-0003-2698-1030"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeto Yoshida","raw_affiliation_strings":["Department of Information Engineering, Hiroshima University, Hiroshima, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Hiroshima University, Hiroshima, JP","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086850753","display_name":"Shinji Tanaka","orcid":"https://orcid.org/0000-0002-0480-3957"},"institutions":[{"id":"https://openalex.org/I4210125056","display_name":"Hiroshima University Hospital","ror":"https://ror.org/038dg9e86","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210125056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Tanaka","raw_affiliation_strings":["Department of Endoscopy - Hiroshima, St. Hiroshima University Hospital, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Endoscopy - Hiroshima, St. Hiroshima University Hospital, JP","institution_ids":["https://openalex.org/I4210125056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Andreas Uhl","raw_affiliation_strings":["Department of Computer Sciences, University of Salzburg, Salzburg, AT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Salzburg, Salzburg, AT","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9947,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88288358,"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":"1044","last_page":"1048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9975000023841858,"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":0.9804999828338623,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.8364477157592773},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8161106109619141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7750775814056396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7332231998443604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6367315053939819},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5945417881011963},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4799140393733978},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4709138572216034},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3802257180213928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3242514729499817}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8364477157592773},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8161106109619141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750775814056396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7332231998443604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6367315053939819},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5945417881011963},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4799140393733978},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4709138572216034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3802257180213928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3242514729499817}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2017.7950695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:717087","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-2018-221112%22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Piscataway, NJ : IEEE 1044-1048 (2017). doi:10.1109/ISBI.2017.7950695","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1446659790","https://openalex.org/W1516595210","https://openalex.org/W1564985612","https://openalex.org/W1570613334","https://openalex.org/W1840027657","https://openalex.org/W1966999409","https://openalex.org/W2000123870","https://openalex.org/W2047643928","https://openalex.org/W2059495483","https://openalex.org/W2086327306","https://openalex.org/W2107327240","https://openalex.org/W2108598243","https://openalex.org/W2140798169","https://openalex.org/W2152773182","https://openalex.org/W2163605009","https://openalex.org/W2166049352","https://openalex.org/W2169616991","https://openalex.org/W2282971418","https://openalex.org/W2295256730","https://openalex.org/W2541669745","https://openalex.org/W2589693500","https://openalex.org/W2953066166","https://openalex.org/W2963173190","https://openalex.org/W6733707253","https://openalex.org/W6764750447"],"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":{"This":[0],"work":[1],"addresses":[2],"Transfer":[3],"Learning":[4],"via":[5],"Convolutional":[6],"Neural":[7],"Networks":[8],"(CNN's)":[9],"for":[10,114],"the":[11,32,34,37,41,48,51,54,59,66,71,74,79,82,87,92,97,102],"automated":[12,115],"classification":[13,116],"of":[14,39,43,50,68,73,117],"colonic":[15,118],"polyps":[16],"in":[17,53,101],"eight":[18],"HD-endoscopic":[19],"image":[20],"databases":[21],"acquired":[22],"using":[23],"different":[24],"modalities.":[25],"For":[26],"this":[27],"purpose,":[28],"we":[29],"explore":[30],"if":[31],"architecture,":[33],"training":[35,55],"approach,":[36],"number":[38,42,67],"classes,":[40],"images":[44,52,75],"as":[45,47],"well":[46],"nature":[49,72],"phase":[56],"can":[57,110],"influence":[58],"results.":[60],"The":[61],"experiments":[62],"show":[63],"that":[64,105],"when":[65],"classes":[69],"and":[70],"are":[76,84],"similar":[77],"to":[78,96],"target":[80],"database,":[81],"results":[83,89],"improved.":[85],"Also,":[86],"better":[88],"obtained":[90],"by":[91,108],"transfer":[93],"learning":[94],"compared":[95],"most":[98],"used":[99],"features":[100,106],"literature":[103],"suggest":[104],"learned":[107],"CNN's":[109],"be":[111],"highly":[112],"relevant":[113],"polyps.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}