{"id":"https://openalex.org/W3011912494","doi":"https://doi.org/10.1117/12.2549847","title":"A hypersensitive breast cancer detector (Conference Presentation)","display_name":"A hypersensitive breast cancer detector (Conference Presentation)","publication_year":2020,"publication_date":"2020-03-17","ids":{"openalex":"https://openalex.org/W3011912494","doi":"https://doi.org/10.1117/12.2549847","mag":"3011912494"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549847","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549847","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","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/A5026956645","display_name":"Stefano Pedemonte","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stefano Pedemonte","raw_affiliation_strings":["Whiterabbit.ai (United States)"],"affiliations":[{"raw_affiliation_string":"Whiterabbit.ai (United States)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026956645"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02634965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.995199978351593,"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":0.995199978351593,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9424999952316284,"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/computer-science","display_name":"Computer science","score":0.7466274499893188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6477352976799011},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5640684366226196},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5254677534103394},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.49278905987739563},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.4874415695667267},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43192532658576965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42540475726127625},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.41770148277282715},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.26556396484375},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11041837930679321},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1048940122127533},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09876832365989685},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.09105470776557922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466274499893188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6477352976799011},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5640684366226196},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5254677534103394},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.49278905987739563},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.4874415695667267},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43192532658576965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42540475726127625},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.41770148277282715},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.26556396484375},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11041837930679321},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1048940122127533},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09876832365989685},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.09105470776557922},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2549847","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549847","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2557931800","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W3197491245","https://openalex.org/W2400155998","https://openalex.org/W1966034269","https://openalex.org/W2000845075","https://openalex.org/W1766776469","https://openalex.org/W2029515485","https://openalex.org/W1990413141"],"abstract_inverted_index":{"Early":[0],"detection":[1,35,250],"of":[2,26,52,66,76,83,119,154,175],"breast":[3],"cancer":[4],"through":[5],"screening":[6,29],"mammography":[7,55],"yields":[8],"a":[9,73,89,105,135,161,170,188,195,244],"20-35%":[10],"increase":[11],"in":[12,163,187,248],"survival":[13],"rate;":[14],"however,":[15],"there":[16],"are":[17],"not":[18],"enough":[19],"radiologists":[20,42,199],"to":[21,41,48,59,87,139,221,231],"serve":[22],"the":[23,50,64,100,117,130,152,155,208,212,215,236],"growing":[24],"population":[25],"women":[27],"seeking":[28],"mammography.":[30],"Although":[31],"commercial":[32],"computer":[33],"aided":[34],"(CADe)":[36],"software":[37],"has":[38,46],"been":[39,228],"available":[40],"for":[43,172],"decades,":[44],"it":[45],"failed":[47],"improve":[49],"interpretation":[51,216],"full-field":[53],"digital":[54],"(FFDM)":[56],"images":[57,78,111],"due":[58],"its":[60,232],"low":[61],"sensitivity":[62,171],"over":[63],"spectrum":[65],"findings.":[67],"In":[68],"this":[69,191],"work,":[70],"we":[71,103],"leverage":[72],"large":[74],"set":[75],"FFDM":[77],"with":[79,93,112,116,134,177,204],"loose":[80,156],"bounding":[81,157],"boxes":[82,158],"mammographically":[84],"significant":[85],"findings":[86,174,223],"train":[88,104],"deep":[90],"learning":[91],"detector":[92,238],"extreme":[94],"sensitivity.":[95],"Building":[96],"upon":[97],"work":[98],"from":[99],"Hourglass":[101],"architecture,":[102],"model":[106,192],"that":[107,224],"produces":[108],"segmentation-":[109],"like":[110],"high":[113,141],"spatial":[114],"resolution,":[115],"aim":[118],"producing":[120],"2D":[121],"Gaussian":[122],"blobs":[123],"centered":[124],"on":[125,206],"ground-truth":[126],"boxes.":[127],"We":[128],"replace":[129],"pixel-wise":[131],"L2":[132],"norm":[133],"weak-supervision":[136],"loss":[137],"designed":[138],"achieve":[140],"sensitivity,":[142,235],"asymmetrically":[143],"penalizing":[144],"false":[145,148,180],"positives":[146],"and":[147,218],"negatives":[149],"while":[150],"softening":[151],"noise":[153],"by":[159,211],"permitting":[160],"tolerance":[162],"misaligned":[164],"predictions.":[165],"The":[166],"resulting":[167],"system":[168],"achieves":[169],"malignant":[173],"0.99":[176],"only":[178,207],"4.8":[179],"positive":[181],"markers":[182],"per":[183],"image.":[184],"When":[185],"utilized":[186],"CADe":[189],"system,":[190],"could":[193,225],"enable":[194],"novel":[196],"workflow":[197],"where":[198],"can":[200,239],"focus":[201],"their":[202],"attention":[203,220],"trust":[205],"locations":[209],"proposed":[210,237],"model,":[213],"expediting":[214],"process":[217],"bringing":[219],"potential":[222],"otherwise":[226],"have":[227],"missed.":[229],"Due":[230],"nearly":[233],"perfect":[234],"also":[240],"be":[241],"used":[242],"as":[243],"high-performance":[245],"proposal":[246],"generator":[247],"two-stage":[249],"systems.":[251]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
