{"id":"https://openalex.org/W3108011419","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258067","title":"Semiautomatic Annotation Framework Based on Annotator Habit for Digital Breast Tomosynthesis","display_name":"Semiautomatic Annotation Framework Based on Annotator Habit for Digital Breast Tomosynthesis","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3108011419","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258067","mag":"3108011419"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan49838.2020.9258067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258067","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 Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5109452217","display_name":"Yi\u2010Chong Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I3141939062","display_name":"Institute for Information Industry","ror":"https://ror.org/01d8kr740","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I3141939062"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yi-Chong Zeng","raw_affiliation_strings":["Institute for Information Industry, Taipei, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Institute for Information Industry, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I3141939062"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109452217"],"corresponding_institution_ids":["https://openalex.org/I3141939062"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15619678,"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":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9966999888420105,"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":0.9966999888420105,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.904546856880188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8313230276107788},{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.6340231895446777},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5822203159332275},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5645193457603455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5441582798957825},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5439746975898743},{"id":"https://openalex.org/keywords/tomosynthesis","display_name":"Tomosynthesis","score":0.5399946570396423},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5079217553138733},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4807702898979187},{"id":"https://openalex.org/keywords/dicom","display_name":"DICOM","score":0.4581420123577118},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.40980079770088196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3304252028465271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32261228561401367},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15437012910842896},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.10268133878707886}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.904546856880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313230276107788},{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.6340231895446777},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5822203159332275},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5645193457603455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5441582798957825},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5439746975898743},{"id":"https://openalex.org/C147454874","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Tomosynthesis","level":5,"score":0.5399946570396423},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5079217553138733},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4807702898979187},{"id":"https://openalex.org/C77331912","wikidata":"https://www.wikidata.org/wiki/Q81095","display_name":"DICOM","level":2,"score":0.4581420123577118},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.40980079770088196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3304252028465271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32261228561401367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15437012910842896},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.10268133878707886},{"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/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan49838.2020.9258067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258067","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 Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321780","display_name":"Ministerie van Economische Zaken","ror":"https://ror.org/00bc6bw85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2133059825","https://openalex.org/W2534044523","https://openalex.org/W2709951493","https://openalex.org/W2774982578","https://openalex.org/W6728567075"],"related_works":["https://openalex.org/W2279492977","https://openalex.org/W4381280234","https://openalex.org/W3043226279","https://openalex.org/W2112863816","https://openalex.org/W2731525820","https://openalex.org/W2082573002","https://openalex.org/W2130017212","https://openalex.org/W2036173279","https://openalex.org/W2801932203","https://openalex.org/W3177930984"],"abstract_inverted_index":{"Annotation":[0],"is":[1,66,94,105,122,136],"an":[2,119],"essential":[3],"task":[4],"before":[5],"training":[6],"a":[7,18,55],"model":[8],"of":[9,71,101,107,138],"classifier":[10],"in":[11,47,88,148],"machine":[12],"learning.":[13],"In":[14,50],"general,":[15],"people":[16],"use":[17],"photo":[19,30],"editor":[20],"to":[21,34,67,98,145],"draw":[22],"contours":[23],"represented":[24],"as":[25,42],"annotated":[26],"results.":[27],"However,":[28],"most":[29],"editors":[31],"are":[32],"limited":[33],"decode":[35],"medical":[36],"images":[37,70,147],"with":[38],"specified":[39],"formats,":[40],"such":[41],"Digital":[43],"Imaging":[44],"and":[45,74,115,142],"Communication":[46],"Medicine":[48],"(DICOM).":[49],"this":[51],"paper,":[52],"we":[53,83],"propose":[54],"semiautomatic":[56],"annotation":[57,76,120,141],"framework":[58,93],"for":[59],"digital":[60],"breast":[61],"tomosynthesis":[62],"(DBT).":[63],"The":[64,129],"challenge":[65],"annotate":[68],"multiple":[69,146],"DBT":[72],"simultaneously":[73],"keep":[75],"consistent":[77],"within":[78],"the":[79,85,91,99,126],"adjacent":[80],"images.":[81],"First,":[82],"analyze":[84],"manual-annotated":[86],"results":[87,131],"mammograms.":[89],"Then,":[90],"proposed":[92,127],"established":[95],"by":[96],"referring":[97],"analytics":[100],"manual":[102],"annotation,":[103,114],"which":[104],"composed":[106],"three":[108],"phases,":[109],"namely":[110],"lesion":[111],"pre-detection,":[112],"extendable":[113],"key-points":[116],"generation.":[117],"Finally,":[118],"tool":[121,135],"developed":[123],"based":[124],"on":[125],"framework.":[128],"experiment":[130],"demonstrate":[132],"that":[133],"our":[134],"capable":[137],"achieving":[139],"simultaneous":[140],"result":[143],"consistency":[144],"DBT.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}