{"id":"https://openalex.org/W2805686747","doi":"https://doi.org/10.1109/isbi.2018.8363568","title":"Feature learning with component selective encoding for histopathology image classification","display_name":"Feature learning with component selective encoding for histopathology image classification","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2805686747","doi":"https://doi.org/10.1109/isbi.2018.8363568","mag":"2805686747"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363568","doi":"https://doi.org/10.1109/isbi.2018.8363568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363568","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"IEEE International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},"volume":null,"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/A5041567418","display_name":"Yang Song","orcid":"https://orcid.org/0000-0003-1283-1672","observed_orcids":["https://orcid.org/0000-0003-1283-1672","https://orcid.org/0009-0008-7231-4275"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["School of Information Technologies, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047619963","display_name":"Hang Chang","orcid":"https://orcid.org/0000-0002-3773-6818","observed_orcids":["https://orcid.org/0000-0002-3773-6818"]},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Chang","raw_affiliation_strings":["Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Gao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013984140","display_name":"Sidong Liu","orcid":"https://orcid.org/0000-0002-2371-0713","observed_orcids":["https://orcid.org/0000-0002-2371-0713"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sidong Liu","raw_affiliation_strings":["Sydney Medical School, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sydney Medical School, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038388335","display_name":"Donghao Zhang","orcid":"https://orcid.org/0009-0002-8185-7577","observed_orcids":["https://orcid.org/0009-0002-8185-7577","https://orcid.org/0000-0001-5663-6372"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Donghao Zhang","raw_affiliation_strings":["School of Information Technologies, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007277367","display_name":"Junen Yao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junen Yao","raw_affiliation_strings":["School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003733487","display_name":"Wojciech Chrzanowski","orcid":"https://orcid.org/0000-0001-8050-8821","observed_orcids":["https://orcid.org/0000-0001-8050-8821"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wojciech Chrzanowski","raw_affiliation_strings":["The University of Sydney Nano Institute, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney Nano Institute, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076697411","display_name":"Weidong Cai","orcid":"https://orcid.org/0000-0003-3706-8896","observed_orcids":["https://orcid.org/0000-0003-3706-8896"]},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weidong Cai","raw_affiliation_strings":["School of Information Technologies, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1183,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83635572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9937000274658203,"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/T10862","display_name":"AI in cancer detection","score":0.9937000274658203,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0038999998942017555,"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":0.0015999999595806003,"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/histopathology-image-classification","display_name":"histopathological image classification","score":0.9300000071525574},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.6899999976158142},{"id":"https://openalex.org/keywords/fisher-vector-encoding","display_name":"Fisher vector encoding","score":0.8500000238418579},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.9710000157356262},{"id":"https://openalex.org/keywords/gaussian-mixture-model","display_name":"Gaussian mixture model","score":0.6610000133514404},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8029999732971191},{"id":"https://openalex.org/keywords/breakhis-dataset","display_name":"BreakHis dataset","score":0.8050000071525574},{"id":"https://openalex.org/keywords/breast-cancer-histopathology","display_name":"breast cancer histopathology","score":0.7300000190734863}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8029719591140747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7416754961013794},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6914947032928467},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6586711406707764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6191445589065552},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6037746071815491},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5932385921478271},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5034815669059753},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4951569139957428},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4888107478618622},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4437190592288971},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4260956048965454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33167529106140137},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2018.8363568","doi":"https://doi.org/10.1109/isbi.2018.8363568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363568","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"IEEE International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"},{"id":"pmh:oai:ses.library.usyd.edu.au:2123/21564","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/2123/21564","pdf_url":null,"source":{"id":"https://openalex.org/S4306402414","display_name":"The Sydney eScholarship Repository (The University of Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I129604602","host_organization_name":"The University of Sydney","host_organization_lineage":["https://openalex.org/I129604602"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W101697616","https://openalex.org/W1686810756","https://openalex.org/W1909952827","https://openalex.org/W2059272842","https://openalex.org/W2194775991","https://openalex.org/W2253429366","https://openalex.org/W2344480160","https://openalex.org/W2397845744","https://openalex.org/W2554892747","https://openalex.org/W2597863280","https://openalex.org/W2609584387","https://openalex.org/W2637598222","https://openalex.org/W2737119926","https://openalex.org/W2737969950"],"related_works":["https://openalex.org/W2637598222","https://openalex.org/W7223347690","https://openalex.org/W2750873433","https://openalex.org/W2777707396","https://openalex.org/W2958255666","https://openalex.org/W2518873948","https://openalex.org/W2545311501","https://openalex.org/W3163665622","https://openalex.org/W1910530047","https://openalex.org/W4408989599"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"new":[6],"feature":[7],"representation":[8],"method,":[9],"called":[10],"the":[11,22,39,48,71,78,83,93],"Component":[12],"Selective":[13],"Encoding":[14],"(CSE),":[15],"for":[16],"automated":[17],"histopathology":[18,46],"image":[19],"classification.":[20],"While":[21],"integration":[23],"of":[24,41,51,73],"Fisher":[25],"Vector":[26],"(FV)":[27],"encoding":[28],"with":[29],"convolutional":[30],"neural":[31],"network":[32],"(CNN)":[33],"has":[34],"demonstrated":[35],"excellent":[36],"performance":[37],"in":[38,77],"classification":[40],"both":[42],"general":[43],"texture":[44],"and":[45,100],"images,":[47],"high":[49],"dimensionality":[50,65],"FV":[52,79,101],"descriptors":[53],"could":[54],"lead":[55],"to":[56,70],"suboptimal":[57],"performance.":[58],"Our":[59],"proposed":[60],"CSE":[61],"method":[62,91],"provides":[63],"effective":[64],"reduction":[66],"that":[67,89],"is":[68],"adaptive":[69],"discriminativeness":[72],"individual":[74],"Gaussian":[75],"components":[76],"descriptors.":[80],"Evaluation":[81],"on":[82,97],"publicly":[84],"available":[85],"BreaKHis":[86],"dataset":[87],"shows":[88],"our":[90],"outperforms":[92],"existing":[94],"approaches":[95],"based":[96],"deep":[98],"learning":[99],"encoding.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2018-06-13T00:00:00"}
