{"id":"https://openalex.org/W4387744772","doi":"https://doi.org/10.3390/a16100483","title":"Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division","display_name":"Development of a Mammography Calcification Detection Algorithm Using Deep Learning with Resolution-Preserved Image Patch Division","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387744772","doi":"https://doi.org/10.3390/a16100483"},"language":"en","primary_location":{"id":"doi:10.3390/a16100483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16100483","pdf_url":"https://www.mdpi.com/1999-4893/16/10/483/pdf?version=1697686101","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/10/483/pdf?version=1697686101","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093085801","display_name":"Miu Sakaida","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miu Sakaida","raw_affiliation_strings":["Graduate School of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038294668","display_name":"Takaaki Yoshimura","orcid":"https://orcid.org/0000-0002-6663-4335"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]},{"id":"https://openalex.org/I4210141669","display_name":"Hokkaido University Hospital","ror":"https://ror.org/0419drx70","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210141669"]},{"id":"https://openalex.org/I163793406","display_name":"Health Sciences University of Hokkaido","ror":"https://ror.org/04tqcn816","country_code":"JP","type":"education","lineage":["https://openalex.org/I163793406"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takaaki Yoshimura","raw_affiliation_strings":["Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","Department of Health Sciences and Technology, Faculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan","Department of Medical Physics, Hokkaido University Hospital, Sapporo 060-8648, Japan","Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan"],"affiliations":[{"raw_affiliation_string":"Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Department of Health Sciences and Technology, Faculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan","institution_ids":["https://openalex.org/I163793406","https://openalex.org/I205349734"]},{"raw_affiliation_string":"Department of Medical Physics, Hokkaido University Hospital, Sapporo 060-8648, Japan","institution_ids":["https://openalex.org/I4210141669"]},{"raw_affiliation_string":"Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876129","display_name":"Minghui Tang","orcid":"https://orcid.org/0000-0003-2421-8314"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Minghui Tang","raw_affiliation_strings":["Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Japan"],"affiliations":[{"raw_affiliation_string":"Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Department of Diagnostic Imaging, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo 060-8638, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071124969","display_name":"Shota Ichikawa","orcid":"https://orcid.org/0000-0002-4275-1422"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shota Ichikawa","raw_affiliation_strings":["Department of Radiological Technology, School of Health Sciences, Faculty of Medicine, Niigata University, Niigata 951-8518, Japan","Institute for Research Administration, Niigata University, Niigata 950-2181, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Radiological Technology, School of Health Sciences, Faculty of Medicine, Niigata University, Niigata 951-8518, Japan","institution_ids":["https://openalex.org/I71395657"]},{"raw_affiliation_string":"Institute for Research Administration, Niigata University, Niigata 950-2181, Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005534816","display_name":"Hiroyuki Sugimori","orcid":"https://orcid.org/0000-0002-7796-5113"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroyuki Sugimori","raw_affiliation_strings":["Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","Department of Biomedical Science and Engineering, Faculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan","Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan"],"affiliations":[{"raw_affiliation_string":"Clinical AI Human Resources Development Program, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Department of Biomedical Science and Engineering, Faculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo 060-8648, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005534816"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.5681,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86605057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":"10","first_page":"483","last_page":"483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7792675495147705},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.6905048489570618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6567872762680054},{"id":"https://openalex.org/keywords/calcification","display_name":"Calcification","score":0.525997519493103},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5121603012084961},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5019805431365967},{"id":"https://openalex.org/keywords/microcalcification","display_name":"Microcalcification","score":0.4576718807220459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4410390853881836},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4376993477344513},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42528727650642395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3629681169986725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32222414016723633},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.22547224164009094},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2240481674671173},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.11781379580497742}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7792675495147705},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6905048489570618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567872762680054},{"id":"https://openalex.org/C2780309369","wikidata":"https://www.wikidata.org/wiki/Q933382","display_name":"Calcification","level":2,"score":0.525997519493103},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5121603012084961},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5019805431365967},{"id":"https://openalex.org/C2781129008","wikidata":"https://www.wikidata.org/wiki/Q1933877","display_name":"Microcalcification","level":5,"score":0.4576718807220459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4410390853881836},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4376993477344513},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42528727650642395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3629681169986725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32222414016723633},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.22547224164009094},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2240481674671173},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.11781379580497742},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a16100483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16100483","pdf_url":"https://www.mdpi.com/1999-4893/16/10/483/pdf?version=1697686101","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d787eaa478b94b6d81908341a296c20f","is_oa":true,"landing_page_url":"https://doaj.org/article/d787eaa478b94b6d81908341a296c20f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 16, Iss 10, p 483 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a16100483","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16100483","pdf_url":"https://www.mdpi.com/1999-4893/16/10/483/pdf?version=1697686101","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387744772.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1983175704","https://openalex.org/W2045216597","https://openalex.org/W2100940783","https://openalex.org/W2107411682","https://openalex.org/W2118386984","https://openalex.org/W2269332562","https://openalex.org/W2337775487","https://openalex.org/W2521286218","https://openalex.org/W2783597708","https://openalex.org/W2809504579","https://openalex.org/W2891566869","https://openalex.org/W2892300334","https://openalex.org/W2892303956","https://openalex.org/W2900955936","https://openalex.org/W2914821433","https://openalex.org/W2944016032","https://openalex.org/W2964189045","https://openalex.org/W2990272570","https://openalex.org/W3091401866","https://openalex.org/W3094502228","https://openalex.org/W3113979538","https://openalex.org/W3133661165","https://openalex.org/W3167228505","https://openalex.org/W3183156526","https://openalex.org/W4200012530","https://openalex.org/W4220666790","https://openalex.org/W4228996583","https://openalex.org/W4283824004","https://openalex.org/W4288432579","https://openalex.org/W4292503999","https://openalex.org/W4313313920","https://openalex.org/W4315754639","https://openalex.org/W4318477030","https://openalex.org/W4377233234","https://openalex.org/W4383104915","https://openalex.org/W4384024574","https://openalex.org/W4385213519"],"related_works":["https://openalex.org/W2353487352","https://openalex.org/W2378946663","https://openalex.org/W2371557736","https://openalex.org/W2316678102","https://openalex.org/W2031284012","https://openalex.org/W2389632774","https://openalex.org/W2354834859","https://openalex.org/W2382258973","https://openalex.org/W4378191048","https://openalex.org/W2075360498"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"in":[4,64],"deep":[5,56],"learning":[6,57],"have":[7],"input":[8],"pixel":[9],"limitations,":[10],"which":[11,117],"leads":[12],"to":[13,48],"lost":[14],"information":[15],"regarding":[16],"microcalcification":[17],"when":[18,31],"mammography":[19],"images":[20,24],"are":[21],"compressed.":[22],"Segmenting":[23],"into":[25,34,78,94],"patches":[26],"retains":[27],"the":[28,35,41,60,65,139],"original":[29],"resolution":[30],"inputting":[32],"them":[33],"CNN":[36],"and":[37,92,99,109,144,166,188,203],"allows":[38],"for":[39,90,97,113],"identifying":[40],"location":[42],"of":[43,62,116,130,134,142,148,153,164,170,175,186,192,206],"calcification.":[44],"This":[45,195],"study":[46],"aimed":[47],"develop":[49],"a":[50,119,145,167,189],"mammographic":[51],"calcification":[52,63,91,121,201,207],"detection":[53],"method":[54,197],"using":[55,101],"by":[58],"classifying":[59],"presence":[61],"breast.":[66],"Using":[67],"publicly":[68],"available":[69],"data,":[70],"212":[71],"mammograms":[72],"from":[73],"81":[74],"women":[75],"were":[76,87,111],"segmented":[77],"224":[79],"\u00d7":[80],"224-pixel":[81],"patches,":[82],"producing":[83],"15,049":[84],"patches.":[85],"These":[86],"visually":[88],"classified":[89],"divided":[93],"five":[95],"subsets":[96],"training":[98],"evaluation":[100],"fivefold":[102],"cross-validation,":[103],"ensuring":[104],"image":[105],"consistency.":[106],"ResNet18,":[107],"ResNet50,":[108],"ResNet101":[110,176],"used":[112],"training,":[114],"each":[115],"created":[118],"two-class":[120],"classifier.":[122],"The":[123,151,173],"ResNet18":[124],"classifier":[125],"achieved":[126],"an":[127,136,162,184],"overall":[128,157,179],"accuracy":[129,133],"96.0%,":[131],"mammogram":[132,160,182],"95.8%,":[135],"area":[137],"under":[138],"curve":[140],"(AUC)":[141],"0.96,":[143,165,187],"processing":[146,168,190],"time":[147,169,191],"0.07":[149],"s.":[150,172,194],"results":[152,174],"ResNet50":[154],"indicated":[155,177],"96.4%":[156],"accuracy,":[158,161,180,183],"96.3%":[159,178],"AUC":[163,185],"0.14":[171],"96.1%":[181],"0.20":[193],"developed":[196],"offers":[198],"quick,":[199],"accurate":[200],"classification":[202],"efficient":[204],"visualization":[205],"locations.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}