{"id":"https://openalex.org/W4413052384","doi":"https://doi.org/10.3233/shti251268","title":"Study on Image Features That Can Evaluate the Extent of Mammary Glands","display_name":"Study on Image Features That Can Evaluate the Extent of Mammary Glands","publication_year":2025,"publication_date":"2025-08-07","ids":{"openalex":"https://openalex.org/W4413052384","doi":"https://doi.org/10.3233/shti251268","pmid":"https://pubmed.ncbi.nlm.nih.gov/40776285"},"language":"en","primary_location":{"id":"doi:10.3233/shti251268","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti251268","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/shti251268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108281514","display_name":"Keiichi Shida","orcid":"https://orcid.org/0000-0003-2808-3488"},"institutions":[{"id":"https://openalex.org/I87531838","display_name":"Teikyo University","ror":"https://ror.org/01gaw2478","country_code":"JP","type":"education","lineage":["https://openalex.org/I87531838"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keiichi Shida","raw_affiliation_strings":["Faculty of Fukuoka Medical Technology, Teikyo University"],"raw_orcid":"https://orcid.org/0000-0003-2808-3488","affiliations":[{"raw_affiliation_string":"Faculty of Fukuoka Medical Technology, Teikyo University","institution_ids":["https://openalex.org/I87531838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103102142","display_name":"Mai Nakamura","orcid":"https://orcid.org/0009-0006-5564-6951"},"institutions":[{"id":"https://openalex.org/I87531838","display_name":"Teikyo University","ror":"https://ror.org/01gaw2478","country_code":"JP","type":"education","lineage":["https://openalex.org/I87531838"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mai Nakamura","raw_affiliation_strings":["Faculty of Fukuoka Medical Technology, Teikyo University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Fukuoka Medical Technology, Teikyo University","institution_ids":["https://openalex.org/I87531838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082797093","display_name":"Noriko Murakami","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124204","display_name":"Kitakyushu Municipal Medical Center","ror":"https://ror.org/0322p7317","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210124204"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriko Murakami","raw_affiliation_strings":["Kitakyushu Municipal Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kitakyushu Municipal Medical Center","institution_ids":["https://openalex.org/I4210124204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055447063","display_name":"Toshikazu Hatada","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124204","display_name":"Kitakyushu Municipal Medical Center","ror":"https://ror.org/0322p7317","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210124204"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshikazu Hatada","raw_affiliation_strings":["Kitakyushu Municipal Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kitakyushu Municipal Medical Center","institution_ids":["https://openalex.org/I4210124204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001337650","display_name":"Kie Shimizu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122547","display_name":"Kumamoto University Hospital","ror":"https://ror.org/02vgs9327","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210122547"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kie Shimizu","raw_affiliation_strings":["Kumamoto University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumamoto University Hospital","institution_ids":["https://openalex.org/I4210122547"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036898543","display_name":"Mie Ishii","orcid":null},"institutions":[{"id":"https://openalex.org/I40502580","display_name":"Gifu University of Medical Science","ror":"https://ror.org/04tcj6w24","country_code":"JP","type":"education","lineage":["https://openalex.org/I40502580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mie Ishii","raw_affiliation_strings":["Gifu University of Medical Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gifu University of Medical Science","institution_ids":["https://openalex.org/I40502580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109127375","display_name":"Rie Ishii","orcid":null},"institutions":[{"id":"https://openalex.org/I89098413","display_name":"Tokushima Bunri University","ror":"https://ror.org/00smwky98","country_code":"JP","type":"education","lineage":["https://openalex.org/I89098413"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rie Ishii","raw_affiliation_strings":["Tokushima Bunri University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokushima Bunri University","institution_ids":["https://openalex.org/I89098413"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5108281514"],"corresponding_institution_ids":["https://openalex.org/I87531838"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43946932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"329","issue":null,"first_page":"1894","last_page":"1895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.909500002861023,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.909500002861023,"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/T10862","display_name":"AI in cancer detection","score":0.907800018787384,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mammary-gland","display_name":"Mammary gland","score":0.6486302614212036},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6208515167236328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5840249061584473},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49181702733039856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4895373284816742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4658981263637543},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4625742733478546},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.42431530356407166},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18410316109657288},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14887955784797668}],"concepts":[{"id":"https://openalex.org/C2778001805","wikidata":"https://www.wikidata.org/wiki/Q189961","display_name":"Mammary gland","level":4,"score":0.6486302614212036},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6208515167236328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5840249061584473},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49181702733039856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4895373284816742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4658981263637543},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4625742733478546},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.42431530356407166},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18410316109657288},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14887955784797668},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D042361","descriptor_name":"Mammary Glands, Human","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D042361","descriptor_name":"Mammary Glands, Human","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.3233/shti251268","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti251268","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:40776285","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40776285","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in health technology and informatics","raw_type":null},{"id":"pmh:oai:irdb.nii.ac.jp:00953:0006945119","is_oa":true,"landing_page_url":"https://teikyo-u.repo.nii.ac.jp/records/2076277","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"journal article"},{"id":"pmh:oai:irdb.nii.ac.jp:00953:0006999061","is_oa":false,"landing_page_url":"https://teikyo-u.repo.nii.ac.jp/records/2077546","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MEDINFO 2025 - Healthcare Smart x Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics","raw_type":"conference proceedings"}],"best_oa_location":{"id":"doi:10.3233/shti251268","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti251268","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2059273319","https://openalex.org/W2014650515"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,75],"this":[3],"study":[4],"is":[5],"to":[6,19,50],"identify":[7],"image":[8,42,62,67],"features":[9,43,68],"in":[10,60,71],"images":[11,27,34],"with":[12,21,28,35],"well-spread":[13],"mammary":[14,30,37],"glands,":[15],"which":[16],"are":[17],"difficult":[18],"determine":[20],"human":[22],"observation":[23],"skills.":[24],"We":[25,40],"prepared":[26],"sufficient":[29],"gland":[31,38],"spread":[32],"and":[33,46],"insufficient":[36],"spread.":[39],"extracted":[41],"from":[44],"each":[45],"used":[47],"statistical":[48],"processing":[49],"examine":[51],"the":[52,55,72,76],"differences":[53,59],"between":[54],"images.":[56],"There":[57,64],"were":[58,65],"80":[61],"features.":[63,78],"many":[66],"that":[69],"differed":[70],"high-frequency":[73],"portion":[74],"wavelet":[77]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}