{"id":"https://openalex.org/W3014016431","doi":"https://doi.org/10.1145/3373509.3373518","title":"Se-DenseNet","display_name":"Se-DenseNet","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W3014016431","doi":"https://doi.org/10.1145/3373509.3373518","mag":"3014016431"},"language":"en","primary_location":{"id":"doi:10.1145/3373509.3373518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","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/A5035375457","display_name":"Yang Duan","orcid":"https://orcid.org/0000-0003-4537-7082"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Duan","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031821249","display_name":"Lingling Sun","orcid":"https://orcid.org/0000-0002-6410-1471"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Sun","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352467","display_name":"Yaqi Wang","orcid":"https://orcid.org/0000-0002-4627-3392"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqi Wang","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"240","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965000152587891,"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":0.993399977684021,"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":0.7677245140075684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6540683507919312},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5771172046661377},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.5628077983856201},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5240191221237183},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5134190320968628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49005186557769775},{"id":"https://openalex.org/keywords/infiltration","display_name":"Infiltration (HVAC)","score":0.4295256733894348},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3882037103176117},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.38687068223953247},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.29304221272468567},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20767304301261902}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7677245140075684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540683507919312},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5771172046661377},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.5628077983856201},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5240191221237183},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5134190320968628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49005186557769775},{"id":"https://openalex.org/C153400128","wikidata":"https://www.wikidata.org/wiki/Q3150731","display_name":"Infiltration (HVAC)","level":2,"score":0.4295256733894348},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3882037103176117},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.38687068223953247},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.29304221272468567},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20767304301261902},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373509.3373518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1555506141","https://openalex.org/W2242218935","https://openalex.org/W2592160412","https://openalex.org/W2593345132","https://openalex.org/W2605195953","https://openalex.org/W2606534623","https://openalex.org/W2607041014","https://openalex.org/W2741609385","https://openalex.org/W2752782242","https://openalex.org/W2949278519","https://openalex.org/W2962819936","https://openalex.org/W2963446712","https://openalex.org/W2963620158","https://openalex.org/W2979771342"],"related_works":["https://openalex.org/W2365243064","https://openalex.org/W3162204513","https://openalex.org/W4293226380","https://openalex.org/W2355608013","https://openalex.org/W2371138613","https://openalex.org/W2386699790","https://openalex.org/W2355723625","https://openalex.org/W2048963458","https://openalex.org/W2898374962","https://openalex.org/W2352079772"],"abstract_inverted_index":{"Clinically,":[0],"the":[1,4,17,21,36,55,92,97,110,114,126,129,140,144,153,167,189],"doctor":[2],"judges":[3],"degree":[5],"of":[6,20,57,60,100,113,162],"tumor":[7],"infiltration,":[8],"and":[9,23,84,90,107,139,187],"identifies":[10],"whether":[11],"it":[12,40],"is":[13,41,116],"metastasized":[14],"by":[15,118],"observing":[16],"histopathological":[18],"section":[19],"patient,":[22],"conducts":[24],"targeted":[25],"treatment":[26,155],"for":[27,54,133],"patients":[28],"accordingly.":[29],"Pathologists":[30],"must":[31],"be":[32,104,178],"highly":[33],"focused":[34],"on":[35,143,166],"diagnostic":[37,52],"process,":[38],"but":[39],"still":[42],"prone":[43],"to":[44,80,88,94,121,180],"missed":[45],"diagnosis.":[46],"This":[47,175],"paper":[48],"presents":[49],"a":[50,134],"complete":[51],"system":[53,115],"classification":[56],"pathological":[58,185],"images":[59,82],"metastatic":[61,68,101],"breast":[62,69],"cancer,":[63],"which":[64],"can":[65,103,177],"automatically":[66],"identify":[67],"cancer":[70,102],"cells.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"use":[76],"convolutional":[77],"neural":[78],"networks":[79],"extract":[81],"intensively":[83],"add":[85],"attention":[86],"mechanisms":[87],"score":[89,142,161],"re-learn":[91],"features":[93,99],"ensure":[95],"that":[96],"effective":[98],"learned":[105],"quickly":[106],"effectively.":[108],"Furthermore,":[109],"generalization":[111],"performance":[112],"improved":[117],"using":[119],"super-resolution":[120,154],"supplement":[122],"image":[123],"details.":[124],"Eventually,":[125],"area":[127],"under":[128],"corresponding":[130],"curve":[131],"(AUC)":[132],"single":[135],"model":[136],"was":[137,148,156,164],"0.993,":[138],"auc":[141],"kaggle":[145],"test":[146,173],"set":[147],"0.001":[149],"higher":[150],"than":[151],"when":[152],"not":[157],"used.":[158],"A":[159],"final":[160],"0.975":[163],"achieved":[165],"KAGGLE":[168],"Histopathologic":[169],"Cancer":[170],"Detection":[171],"competition":[172],"set.":[174],"method":[176],"used":[179],"assist":[181],"doctors":[182],"in":[183],"examining":[184],"sections,":[186],"make":[188],"diagnosis":[190],"results":[191],"relatively":[192],"objective.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-04-03T00:00:00"}
