{"id":"https://openalex.org/W2914774348","doi":"https://doi.org/10.1109/bibm.2018.8621429","title":"A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification","display_name":"A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914774348","doi":"https://doi.org/10.1109/bibm.2018.8621429","mag":"2914774348"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5003979715","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-1336-1740"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Yan","raw_affiliation_strings":["High Performance Computer Research Center, Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"High Performance Computer Research Center, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769579","display_name":"Fei Ren","orcid":"https://orcid.org/0000-0002-3186-3170"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ren","raw_affiliation_strings":["High Performance Computer Research Center, Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"High Performance Computer Research Center, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413085","display_name":"Zihao Wang","orcid":"https://orcid.org/0000-0002-3919-0396"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Wang","raw_affiliation_strings":["High Performance Computer Research Center, Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"High Performance Computer Research Center, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035062901","display_name":"Lihua Wang","orcid":"https://orcid.org/0000-0002-1182-4713"},"institutions":[{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Wang","raw_affiliation_strings":["Department of Pathology, Peking University International Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Peking University International Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101017804","display_name":"Yubo Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubo Ren","raw_affiliation_strings":["Department of Pathology, Peking University International Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Peking University International Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079115940","display_name":"Yudong Liu","orcid":"https://orcid.org/0000-0002-5153-3400"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudong Liu","raw_affiliation_strings":["High Performance Computer Research Center, Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"High Performance Computer Research Center, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103907680","display_name":"Xiaosong Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133846","display_name":"Peking University International Hospital","ror":"https://ror.org/03jxhcr96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133846"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosong Rao","raw_affiliation_strings":["Department of Pathology, Peking University International Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Peking University International Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210133846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064185915","display_name":"Chun-Hou Zheng","orcid":"https://orcid.org/0000-0002-2695-1926"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhou Zheng","raw_affiliation_strings":["College of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731978","display_name":"Fa Zhang","orcid":"https://orcid.org/0000-0002-2081-9369"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fa Zhang","raw_affiliation_strings":["High Performance Computer Research Center, Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"High Performance Computer Research Center, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5003979715"],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":1.8617,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89453484,"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":"957","last_page":"962"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":1.0,"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":1.0,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.996399998664856,"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":0.9955999851226807,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7806933522224426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7405542135238647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7129968404769897},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5986268520355225},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5864497423171997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5793455839157104},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48561182618141174},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48028990626335144},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4669182300567627},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4574737548828125},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44564640522003174},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.33265605568885803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2292543649673462},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15160143375396729}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7806933522224426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405542135238647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7129968404769897},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5986268520355225},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5864497423171997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5793455839157104},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48561182618141174},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48028990626335144},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4669182300567627},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4574737548828125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44564640522003174},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.33265605568885803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2292543649673462},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15160143375396729},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W139721330","https://openalex.org/W1597336200","https://openalex.org/W2064675550","https://openalex.org/W2106624481","https://openalex.org/W2117539524","https://openalex.org/W2124833098","https://openalex.org/W2132162500","https://openalex.org/W2143093135","https://openalex.org/W2151608510","https://openalex.org/W2183341477","https://openalex.org/W2187089797","https://openalex.org/W2302302587","https://openalex.org/W2554892747","https://openalex.org/W2592929672","https://openalex.org/W2609584387","https://openalex.org/W2620578070","https://openalex.org/W2919115771","https://openalex.org/W2950616610","https://openalex.org/W2962898707","https://openalex.org/W2962934138","https://openalex.org/W2963395517","https://openalex.org/W2963460810","https://openalex.org/W2963897729","https://openalex.org/W3098150009","https://openalex.org/W4285719527","https://openalex.org/W6605752220","https://openalex.org/W6635816984","https://openalex.org/W6678421804","https://openalex.org/W6736524840"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W3141979996","https://openalex.org/W3113054633"],"abstract_inverted_index":{"Hematoxylin":[0],"and":[1,27,38,51,72],"Eosin":[2],"H&E":[3],"stained":[4],"breast":[5,20,78,142],"tissue":[6],"samples":[7],"from":[8,41,155],"biopsies":[9],"are":[10,151],"observed":[11],"under":[12],"microscopy":[13],"for":[14,60,77,122],"the":[15,28,31,47,61,86,91,128,132,147,175],"gold":[16],"standard":[17],"diagnosis":[18,53],"of":[19,30,49,105,120,177,182],"cancer.":[21],"However,":[22],"a":[23,68,106,137],"substantial":[24],"workload":[25],"increases":[26],"complexity":[29],"pathological":[32,80,144],"images":[33,145],"make":[34],"this":[35,45,64],"task":[36],"time-consuming":[37],"may":[39],"suffer":[40],"pathologist's":[42],"subjectivity.":[43],"Facing":[44],"problem,":[46],"development":[48],"automatic":[50],"precise":[52],"methods":[54],"is":[55,100],"challenging":[56],"but":[57],"also":[58],"essential":[59],"field.":[62],"In":[63,158],"paper,":[65],"we":[66,135],"propose":[67],"new":[69],"hybrid":[70],"convolutional":[71],"recurrent":[73],"deep":[74],"neural":[75],"network":[76],"cancer":[79,143],"image":[81],"classification.":[82],"Our":[83],"method":[84,115],"considers":[85],"short-term":[87],"as":[88,90,163,171],"well":[89],"long-term":[92],"spatial":[93],"correlations":[94],"between":[95],"patches":[96],"through":[97],"RNN":[98],"which":[99,126,150],"directly":[101],"incorporated":[102],"on":[103],"top":[104],"CNN":[107],"feature":[108],"extractor.":[109],"Experimental":[110],"results":[111],"showed":[112],"that":[113],"our":[114,160],"obtained":[116],"an":[117],"average":[118],"accuracy":[119,181],"90.5%":[121],"4-class":[123],"classification":[124,180],"task,":[125],"outperforms":[127],"state-of-the-art":[129],"method.":[130],"At":[131],"same":[133],"time,":[134],"release":[136],"bigger":[138],"dataset":[139,161],"with":[140],"1568":[141],"to":[146],"scientific":[148],"community,":[149],"now":[152],"publicly":[153],"available":[154],"http://ear.ict.ac.cn/?page":[156],"id=1576.":[157],"particular,":[159],"covers":[162],"many":[164],"different":[165,168],"subclasses":[166],"spanning":[167],"age":[169],"groups":[170],"possible,":[172],"thus":[173],"alleviating":[174],"problem":[176],"relatively":[178],"low":[179],"benign.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
