{"id":"https://openalex.org/W2017223673","doi":"https://doi.org/10.1109/bibe.2013.6701694","title":"Generation of clustered microcalcifications' atlases for benign and malignant cases","display_name":"Generation of clustered microcalcifications' atlases for benign and malignant cases","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2017223673","doi":"https://doi.org/10.1109/bibe.2013.6701694","mag":"2017223673"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2013.6701694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2013.6701694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th IEEE International Conference on BioInformatics and BioEngineering","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/A5081622638","display_name":"Ioannis Andreadis","orcid":"https://orcid.org/0000-0001-6782-1530"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis I. Andreadis","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","Sch. of Electr. & Comput. Eng., Nat. Technol. Univ. of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng., Nat. Technol. Univ. of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058322678","display_name":"George M. Spyrou","orcid":"https://orcid.org/0000-0002-2470-3363"},"institutions":[{"id":"https://openalex.org/I206127235","display_name":"Academy of Athens","ror":"https://ror.org/00qsdn986","country_code":"GR","type":"education","lineage":["https://openalex.org/I206127235"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George M. Spyrou","raw_affiliation_strings":["Biomedical Research Foundation Academy of Athens, Athens, Greece","Biomed. Res. Found., Acad. of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Biomedical Research Foundation Academy of Athens, Athens, Greece","institution_ids":["https://openalex.org/I206127235"]},{"raw_affiliation_string":"Biomed. Res. Found., Acad. of Athens, Athens, Greece","institution_ids":["https://openalex.org/I206127235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029054711","display_name":"Panos A. Ligomenides","orcid":null},"institutions":[{"id":"https://openalex.org/I206127235","display_name":"Academy of Athens","ror":"https://ror.org/00qsdn986","country_code":"GR","type":"education","lineage":["https://openalex.org/I206127235"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panos A. Ligomenides","raw_affiliation_strings":["Academy of Athens, Athens, Greece","Acad. of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Academy of Athens, Athens, Greece","institution_ids":["https://openalex.org/I206127235"]},{"raw_affiliation_string":"Acad. of Athens, Athens, Greece","institution_ids":["https://openalex.org/I206127235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082313849","display_name":"Konstantina S. Nikita","orcid":"https://orcid.org/0000-0001-8255-4354"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantina S. Nikita","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","Sch. of Electr. & Comput. Eng., Nat. Technol. Univ. of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"Sch. of Electr. & Comput. Eng., Nat. Technol. Univ. of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081622638"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75193019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9785000085830688,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/mammography","display_name":"Mammography","score":0.6915183067321777},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6661015152931213},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6175470948219299},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5904695391654968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5588068962097168},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5410178899765015},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5229547619819641},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5016844272613525},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.4850970506668091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4473530054092407},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.4463478922843933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.429068386554718},{"id":"https://openalex.org/keywords/digital-mammography","display_name":"Digital mammography","score":0.41092824935913086},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.30830228328704834},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21685689687728882},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12533634901046753},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.062341541051864624}],"concepts":[{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6915183067321777},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6661015152931213},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6175470948219299},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5904695391654968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5588068962097168},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5410178899765015},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5229547619819641},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5016844272613525},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.4850970506668091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4473530054092407},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.4463478922843933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.429068386554718},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.41092824935913086},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.30830228328704834},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21685689687728882},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12533634901046753},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.062341541051864624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2013.6701694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2013.6701694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th IEEE International Conference on BioInformatics and BioEngineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8299999833106995,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W177004468","https://openalex.org/W1589801588","https://openalex.org/W1981131709","https://openalex.org/W1984278627","https://openalex.org/W1990529284","https://openalex.org/W2041205288","https://openalex.org/W2043979709","https://openalex.org/W2084161499","https://openalex.org/W2122621634","https://openalex.org/W2123696692","https://openalex.org/W2157117929","https://openalex.org/W4241283611","https://openalex.org/W6607184829"],"related_works":["https://openalex.org/W2557931800","https://openalex.org/W2116047071","https://openalex.org/W54977395","https://openalex.org/W3197491245","https://openalex.org/W1966034269","https://openalex.org/W2000845075","https://openalex.org/W1766776469","https://openalex.org/W2029515485","https://openalex.org/W1990413141","https://openalex.org/W2011788222"],"abstract_inverted_index":{"Breast":[0],"microcalcifications":[1,21,80,115],"are":[2],"one":[3],"of":[4,14,35,62,67,79,87,100,105,111,114,123,134,147,150,155],"the":[5,12,15,26,29,33,36,43,51,60,85,98,124,131,145],"most":[6],"important":[7,106],"mammographic":[8],"findings":[9],"related":[10],"to":[11,71,83],"existence":[13],"breast":[16,74,107,119,146],"cancer.":[17],"Radiologists":[18],"usually":[19],"characterize":[20],"based":[22],"on":[23,50,59,90,116],"their":[24],"morphologies,":[25],"distribution":[27],"within":[28],"cluster":[30,37,88],"they":[31],"form,":[32],"shape":[34],"and":[38,54,109,152],"its":[39,57],"relative":[40],"location":[41,89],"inside":[42],"breast.":[44],"In":[45],"this":[46],"study,":[47],"we":[48,55],"focus":[49],"latter":[52],"factor":[53],"study":[56,69],"effect":[58],"probability":[61],"malignancy.":[63,156],"The":[64,121,137],"main":[65],"purpose":[66],"our":[68],"is":[70,126],"generate":[72],"probabilistic":[73,139],"cancer":[75,91],"atlases":[76,125,140],"for":[77,97],"clusters":[78,113,151],"in":[81,144],"order":[82],"visualize":[84],"influence":[86],"probability.":[92],"We":[93],"propose":[94],"a":[95,117],"framework":[96],"generation":[99,122],"such":[101],"atlases,":[102],"including":[103],"segmentation":[104],"landmarks":[108],"projection":[110],"different":[112],"reference":[118],"shape.":[120],"implemented":[127],"using":[128],"mammograms":[129],"from":[130],"Digital":[132],"Database":[133],"Screening":[135],"Mammography.":[136],"obtained":[138],"reveal":[141],"specific":[142],"areas":[143],"higher":[148,153],"occurrence":[149],"risk":[154]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}