{"id":"https://openalex.org/W3089830264","doi":"https://doi.org/10.1109/icip40778.2020.9190794","title":"Multi-Scale Feature Pyramids for Weakly Supervised Thoracic Disease Localization","display_name":"Multi-Scale Feature Pyramids for Weakly Supervised Thoracic Disease Localization","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3089830264","doi":"https://doi.org/10.1109/icip40778.2020.9190794","mag":"3089830264"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9190794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5101875456","display_name":"Yang Ma","orcid":"https://orcid.org/0000-0003-3719-3195"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Ma","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085704922","display_name":"J. Andy","orcid":"https://orcid.org/0000-0002-0165-8416"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Andy J Ma","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112533820","display_name":"YoungSun Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youngsun Pan","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101429636","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0002-8326-6271"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Chen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61954218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2481","last_page":"2485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9919999837875366,"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/feature","display_name":"Feature (linguistics)","score":0.7741243243217468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6703126430511475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6526099443435669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6515406370162964},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5671236515045166},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5523444414138794},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5105963349342346},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42468857765197754},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4118275046348572},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06391143798828125}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7741243243217468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6703126430511475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526099443435669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515406370162964},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5671236515045166},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5523444414138794},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5105963349342346},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42468857765197754},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4118275046348572},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06391143798828125},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9190794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9190794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2565639579","https://openalex.org/W2611650229","https://openalex.org/W2752782242","https://openalex.org/W2770241596","https://openalex.org/W2884149198","https://openalex.org/W2888052345","https://openalex.org/W2888728082","https://openalex.org/W2901954625","https://openalex.org/W2962708065","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2970733544","https://openalex.org/W2970868609","https://openalex.org/W2970912114","https://openalex.org/W2993044507","https://openalex.org/W3101156210","https://openalex.org/W4300485340","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6746693533","https://openalex.org/W6753997096","https://openalex.org/W6754081035"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W962203960","https://openalex.org/W2509431957","https://openalex.org/W2026999166","https://openalex.org/W1599954583","https://openalex.org/W4211007821","https://openalex.org/W2802395037","https://openalex.org/W4389565704","https://openalex.org/W1996802783","https://openalex.org/W3207031006"],"abstract_inverted_index":{"Automatic":[0],"localization":[1,65,158,176],"of":[2,9,81,93,96,119,132,150,160],"thoracic":[3,43],"diseases":[4,31,44,152,162],"has":[5],"a":[6,25,55,116],"wide":[7],"range":[8],"applications":[10],"which":[11],"can":[12,144],"assist":[13],"radiologists":[14],"for":[15,61],"more":[16],"efficient":[17],"and":[18,41,154,164],"better":[19],"diagnosis.":[20],"However,":[21],"it":[22],"is":[23,115,169],"still":[24],"challenging":[26],"task":[27],"to":[28,77,171],"locate":[29],"the":[30,73,129,136,141,147,172,179],"accurately":[32],"since":[33],"strong":[34],"location":[35,79],"annotation":[36],"may":[37,45],"not":[38],"be":[39],"available":[40],"different":[42],"vary":[46],"in":[47,125],"size":[48],"greatly.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,98,113],"propose":[54],"novel":[56],"multi-scale":[57,74,100],"feature":[58,75,90,101,120,126],"pyramids":[59],"model":[60,71],"weakly":[62,174],"supervised":[63,175],"disease":[64],"on":[66,135,178],"chest":[67],"X-ray":[68],"images.":[69],"Our":[70],"leverages":[72],"maps":[76,102],"learn":[78],"representation":[80,130],"lesions":[82],"by":[83],"fusing":[84],"heatmaps":[85],"generated":[86],"from":[87],"all":[88],"these":[89],"maps.":[91],"Instead":[92],"linear":[94],"combination":[95,118],"heatmaps,":[97],"reconFigure":[99],"with":[103,156],"an":[104],"Feature":[105],"Pyramids":[106],"Network":[107],"(fpn)":[108],"structure":[109],"first.":[110],"The":[111],"FPN":[112],"conducted":[114],"nonlinear":[117],"hierarchy,":[121],"adding":[122],"highly-nonlinear":[123],"patterns":[124],"maps,":[127],"enriching":[128],"space":[131],"heatmaps.":[133],"Experiments":[134],"ChestXray14":[137],"dataset":[138],"show":[139],"that":[140],"proposed":[142],"method":[143,168],"significantly":[145],"improve":[146],"10-calization":[148],"performance":[149,159],"small-sized":[151],"(nodules":[153],"masses)":[155],"competitive":[157],"large-sized":[161],"(cardiomegaly":[163],"pneumonia).":[165],"Averagely,":[166],"our":[167],"superior":[170],"state-of-the-art":[173],"algorithms":[177],"dataset,":[180],"ChestXray14.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}