{"id":"https://openalex.org/W2827832003","doi":"https://doi.org/10.1117/12.2318717","title":"Retrieval of reference images of breast masses on mammograms by similarity space modeling","display_name":"Retrieval of reference images of breast masses on mammograms by similarity space modeling","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2827832003","doi":"https://doi.org/10.1117/12.2318717","mag":"2827832003"},"language":"en","primary_location":{"id":"doi:10.1117/12.2318717","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","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/A5020446716","display_name":"Shunichi Higuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunichi Higuchi","raw_affiliation_strings":["Gifu Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gifu Univ. (Japan)","institution_ids":["https://openalex.org/I42405503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007691999","display_name":"Chisako Muramatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chisako Muramatsu","raw_affiliation_strings":["Gifu Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gifu Univ. (Japan)","institution_ids":["https://openalex.org/I42405503"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109307730","display_name":"Takako Morita","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152596","display_name":"Nagoya Medical Center","ror":"https://ror.org/04ftw3n55","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210137409","https://openalex.org/I4210152596"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takako Morita","raw_affiliation_strings":["Nagoya Medical Ctr. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya Medical Ctr. (Japan)","institution_ids":["https://openalex.org/I4210152596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072254514","display_name":"Mikinao Oiwa","orcid":"https://orcid.org/0000-0003-3446-1131"},"institutions":[{"id":"https://openalex.org/I4210152596","display_name":"Nagoya Medical Center","ror":"https://ror.org/04ftw3n55","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210137409","https://openalex.org/I4210152596"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikinao Oiwa","raw_affiliation_strings":["Nagoya Medical Ctr. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya Medical Ctr. (Japan)","institution_ids":["https://openalex.org/I4210152596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079163477","display_name":"Tomonori Kawasaki","orcid":"https://orcid.org/0000-0003-1629-2549"},"institutions":[{"id":"https://openalex.org/I4210152596","display_name":"Nagoya Medical Center","ror":"https://ror.org/04ftw3n55","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210137409","https://openalex.org/I4210152596"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomonori Kawasaki","raw_affiliation_strings":["Nagoya Medical Ctr. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagoya Medical Ctr. (Japan)","institution_ids":["https://openalex.org/I4210152596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027406783","display_name":"Hiroshi Fujita","orcid":"https://orcid.org/0000-0002-2936-9296"},"institutions":[{"id":"https://openalex.org/I42405503","display_name":"Gifu University","ror":"https://ror.org/024exxj48","country_code":"JP","type":"education","lineage":["https://openalex.org/I42405503"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Fujita","raw_affiliation_strings":["Gifu Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gifu Univ. (Japan)","institution_ids":["https://openalex.org/I42405503"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7494,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8957476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"81","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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":0.9976000189781189,"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/similarity","display_name":"Similarity (geometry)","score":0.7271767854690552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6890532970428467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6434566378593445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194231510162354},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5313708782196045},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5306533575057983},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.514590859413147},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4221140146255493},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42041531205177307},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3472028970718384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2639903724193573}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7271767854690552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890532970428467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6434566378593445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194231510162354},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5313708782196045},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5306533575057983},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.514590859413147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4221140146255493},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42041531205177307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3472028970718384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2639903724193573},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2318717","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G6174531864","display_name":"Investigation of multimodality diagnosis assistant system for breast cancer","funder_award_id":"17K09061","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1026161572","https://openalex.org/W1492182164","https://openalex.org/W2117205993","https://openalex.org/W2130996619","https://openalex.org/W2137953499","https://openalex.org/W2494136408","https://openalex.org/W4246354968","https://openalex.org/W4249947376","https://openalex.org/W6626709284","https://openalex.org/W6629533309","https://openalex.org/W6679118231","https://openalex.org/W6723295813"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W2778653980"],"abstract_inverted_index":{"Presentation":[0],"of":[1,23,35,52,72,104,134,147,155,162,192,225,233],"reference":[2,96],"images":[3,34,149,165],"that":[4,82,84],"are":[5],"similar":[6,68,206,230],"to":[7,27,88],"a":[8,29,41,75,89],"query":[9,90],"image":[10,16,91,107,207,231],"can":[11,92],"be":[12,93],"helpful":[13],"in":[14,132,153,166,215,229],"medical":[15],"diagnosis":[17],"and":[18,59,141,177],"treatment":[19],"planning.":[20],"The":[21,122,145,170,196,219],"purpose":[22],"this":[24,111,115],"study":[25],"is":[26,159],"investigate":[28],"method":[30,131,228],"for":[31,50,65,106],"retrieving":[32,66],"relevant":[33],"breast":[36,234],"masses":[37,53,83,105,235],"on":[38,236],"mammograms":[39],"as":[40,61,95],"diagnostic":[42],"reference.":[43],"In":[44,110],"our":[45],"previous":[46,194,217],"studies,":[47],"subjective":[48,76,139,175],"similarities":[49],"pairs":[51],"were":[54,85],"obtained":[55],"from":[56],"experienced":[57],"radiologists":[58],"used":[60],"the":[62,127,135,138,156,160,167,174,178,193,204,216,222,226],"gold":[63],"standard":[64],"visually":[67],"images.":[69,97,169],"By":[70],"use":[71],"multidimensional":[73],"scaling,":[74],"similarity":[77,116,143,180],"space":[78,117],"was":[79,124,150,182,187,199,208,211],"spanned":[80],"so":[81],"placed":[86],"close":[87],"retrieved":[94,148,168],"This":[98],"method,":[99],"however,":[100],"required":[101],"manual":[102],"outlines":[103],"feature":[108],"determination.":[109],"study,":[112],"we":[113],"modelled":[114],"using":[118,126],"convolutional":[119],"neural":[120],"network.":[121],"result":[123],"evaluated":[125,152],"leave-one-out":[128],"cross":[129],"validation":[130],"terms":[133,154],"correlation":[136,171],"between":[137,173],"ratings":[140,176],"determined":[142,179],"measures.":[144],"relevance":[146],"also":[151],"precision,":[157],"which":[158,186,210],"fraction":[161],"pathology":[163],"matched":[164],"coefficient":[172],"measure":[181],"moderate":[183],"with":[184,201],"0.735,":[185],"slightly":[188],"lower":[189],"than":[190,213],"those":[191,214],"methods.":[195],"average":[197],"precision":[198],"high":[200],"0.852":[202],"when":[203],"most":[205],"retrieved,":[209],"higher":[212],"studies.":[218],"results":[220],"indicate":[221],"potential":[223],"usefulness":[224],"proposed":[227],"retrieval":[232],"mammograms.":[237]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}