{"id":"https://openalex.org/W6888426664","doi":"https://doi.org/10.21227/v4y4-k985","title":"An ultrasound brain dataset for foreign body detection in neurosurgery","display_name":"An ultrasound brain dataset for foreign body detection in neurosurgery","publication_year":2025,"publication_date":"2025-01-03","ids":{"openalex":"https://openalex.org/W6888426664","doi":"https://doi.org/10.21227/v4y4-k985"},"language":"en","primary_location":{"id":"doi:10.21227/v4y4-k985","is_oa":true,"landing_page_url":"https://doi.org/10.21227/v4y4-k985","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/v4y4-k985","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Steger, Leonard","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steger, Leonard","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kumar, Avisha","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kumar, Avisha","raw_affiliation_strings":["Johns Hopkins University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.7069000005722046},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5893999934196472},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39309999346733093},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.3790000081062317},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3366999924182892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3312000036239624}],"concepts":[{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.7069000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869999766349792},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5893999934196472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5572999715805054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.451200008392334},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3790000081062317},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.34459999203681946},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3343000113964081},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.328900009393692},{"id":"https://openalex.org/C12770488","wikidata":"https://www.wikidata.org/wiki/Q188449","display_name":"Neurosurgery","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.30550000071525574},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C2986936838","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Brain tissue","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/v4y4-k985","is_oa":true,"landing_page_url":"https://doi.org/10.21227/v4y4-k985","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/v4y4-k985","is_oa":true,"landing_page_url":"https://doi.org/10.21227/v4y4-k985","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"score":0.4092995822429657,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,149],"removal":[1],"of":[2,12,23,77,117,153,158,166,192,202],"surgical":[3],"tools":[4,219],"from":[5,34,108],"the":[6,24,35,60,74,102,147,179,188],"brain":[7,37,80],"is":[8,151],"a":[9,84,133,197,209],"critical":[10],"aspect":[11],"post-operative":[13],"care.":[14],"Surgical":[15],"sponges":[16],"such":[17],"as":[18,29],"cotton":[19,78,164],"balls":[20,165],"are":[21,121],"one":[22],"most":[25],"commonly":[26],"retained":[27],"tools,":[28],"they":[30],"become":[31],"visually":[32,87],"indistinguishable":[33],"surrounding":[36],"tissue":[38],"when":[39],"soaked":[40],"with":[41,196],"blood":[42],"and":[43,56,79,96,120,169,181],"can":[44,50,82],"fragment":[45],"into":[46],"smaller":[47],"pieces.":[48],"This":[49],"lead":[51],"to":[52,138,214],"life-threatening":[53],"immunological":[54],"responses":[55],"invasive":[57],"reoperation,":[58],"demonstrating":[59],"need":[61],"for":[62,86,104,143,212],"new":[63],"foreign":[64],"body":[65],"object":[66,106,217],"detection":[67,107,218],"methods.":[68],"Ultrasound":[69],"imaging,":[70],"which":[71],"differentiates":[72],"between":[73],"acoustic":[75],"properties":[76],"tissue,":[81],"provide":[83],"method":[85],"detecting":[88],"these":[89,112],"objects":[90],"intraoperativley.":[91],"Advances":[92],"in":[93,146,220],"deep":[94,140,172],"learning":[95,141,173],"computer":[97],"vision":[98],"models":[99,113,174,195],"have":[100],"demonstrated":[101],"ability":[103],"automated":[105],"ultrasound":[109,135,156],"images,":[110],"but":[111],"require":[114],"large":[115],"amounts":[116],"training":[118],"data":[119,136],"often":[122],"trained":[123],"on":[124,178],"privately":[125],"developed":[126],"datasets.":[127],"In":[128],"this":[129],"study,":[130],"we":[131],"present":[132],"novel":[134],"resource":[137,211],"train":[139],"algorithms":[142],"clinical":[144],"translation":[145],"brain.":[148],"dataset":[150,207],"comprised":[152],"860":[154],"annotated":[155],"images":[157],"ex":[159],"vivo":[160],"porcine":[161],"brains":[162],"containing":[163],"varying":[167],"sizes":[168],"amounts.":[170],"State-of-the-art":[171],"were":[175],"then":[176],"evaluated":[177],"dataset,":[180],"our":[182],"results":[183],"show":[184],"that":[185],"YOLOv9":[186],"achieves":[187],"highest":[189],"accuracy":[190],"out":[191],"all":[193],"tested":[194],"mean":[198],"Average":[199],"Precision":[200],"(mAP50-95)":[201],"0.657.":[203],"Our":[204],"publicly":[205],"available":[206],"provides":[208],"robust":[210],"researchers":[213],"further":[215],"enhance":[216],"neurosurgery.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}