{"id":"https://openalex.org/W113119604","doi":"https://doi.org/10.1007/978-3-642-31271-7_6","title":"Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes Classifier","display_name":"Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes Classifier","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W113119604","doi":"https://doi.org/10.1007/978-3-642-31271-7_6","mag":"113119604"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-31271-7_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-31271-7_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5102798824","display_name":"Wenda He","orcid":"https://orcid.org/0000-0003-4227-1661"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenda He","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Aberystwyth, SY23 3DB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Aberystwyth, SY23 3DB, UK","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068488957","display_name":"Erika Denton","orcid":"https://orcid.org/0000-0001-8650-862X"},"institutions":[{"id":"https://openalex.org/I2799472390","display_name":"Norfolk and Norwich University Hospital","ror":"https://ror.org/021zm6p18","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2799472390","https://openalex.org/I2800371493"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Erika R. E. Denton","raw_affiliation_strings":["Department of Radiology, Norfolk & Norwich University Hospital, Norwich, NR4 7UY, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Norfolk & Norwich University Hospital, Norwich, NR4 7UY, UK","institution_ids":["https://openalex.org/I2799472390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075394907","display_name":"Reyer Zwiggelaar","orcid":"https://orcid.org/0000-0002-4360-0896"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Reyer Zwiggelaar","raw_affiliation_strings":["Department of Computer Science, Aberystwyth University, Aberystwyth, SY23 3DB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aberystwyth University, Aberystwyth, SY23 3DB, UK","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":13.0511,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.99331742,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"40","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9998000264167786,"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"}},{"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/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9861999750137329,"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/mammography","display_name":"Mammography","score":0.6991011500358582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6851328611373901},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6671294569969177},{"id":"https://openalex.org/keywords/breast-density","display_name":"Breast density","score":0.6405631303787231},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6265223622322083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6257034540176392},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6028945446014404},{"id":"https://openalex.org/keywords/mammographic-density","display_name":"MAMMOGRAPHIC DENSITY","score":0.5869337320327759},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5517216324806213},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5353264212608337},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4957750737667084},{"id":"https://openalex.org/keywords/breast-imaging","display_name":"Breast imaging","score":0.49400264024734497},{"id":"https://openalex.org/keywords/bi-rads","display_name":"BI-RADS","score":0.47558438777923584},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4684355854988098},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.30286628007888794},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16308754682540894},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14538127183914185},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06390362977981567},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.06045699119567871}],"concepts":[{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.6991011500358582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851328611373901},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6671294569969177},{"id":"https://openalex.org/C3018951153","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"Breast density","level":5,"score":0.6405631303787231},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6265223622322083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6257034540176392},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6028945446014404},{"id":"https://openalex.org/C2909213482","wikidata":"https://www.wikidata.org/wiki/Q17011492","display_name":"MAMMOGRAPHIC DENSITY","level":5,"score":0.5869337320327759},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5517216324806213},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5353264212608337},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4957750737667084},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.49400264024734497},{"id":"https://openalex.org/C2779098232","wikidata":"https://www.wikidata.org/wiki/Q903975","display_name":"BI-RADS","level":5,"score":0.47558438777923584},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4684355854988098},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.30286628007888794},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16308754682540894},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14538127183914185},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06390362977981567},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.06045699119567871}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-31271-7_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-31271-7_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1546593206","https://openalex.org/W1562823746","https://openalex.org/W1861891407","https://openalex.org/W1993518750","https://openalex.org/W2006052536","https://openalex.org/W2009370455","https://openalex.org/W2027328448","https://openalex.org/W2064310998","https://openalex.org/W2086543716","https://openalex.org/W2099841834","https://openalex.org/W2133898338","https://openalex.org/W2137839901","https://openalex.org/W2156230785","https://openalex.org/W2156815001","https://openalex.org/W2462142029","https://openalex.org/W2514575318","https://openalex.org/W2969620089","https://openalex.org/W4298372621"],"related_works":["https://openalex.org/W2050777812","https://openalex.org/W2154027915","https://openalex.org/W2927354646","https://openalex.org/W2908177804","https://openalex.org/W2075097563","https://openalex.org/W2888017560","https://openalex.org/W3093479359","https://openalex.org/W2111863209","https://openalex.org/W2322522942","https://openalex.org/W3012112151"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
