{"id":"https://openalex.org/W2311462983","doi":"https://doi.org/10.1117/12.2217026","title":"Segmentation techniques evaluation based on a single compact breast mass classification scheme","display_name":"Segmentation techniques evaluation based on a single compact breast mass classification scheme","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2311462983","doi":"https://doi.org/10.1117/12.2217026","mag":"2311462983"},"language":"en","primary_location":{"id":"doi:10.1117/12.2217026","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217026","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5015279574","display_name":"Bruno Roberto Nepomuceno Matheus","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bruno R. N. Matheus","raw_affiliation_strings":["Univ. de S\u00e3o Paulo (Brazil)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. de S\u00e3o Paulo (Brazil)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037665595","display_name":"Karem D. Marcomini","orcid":"https://orcid.org/0000-0002-8594-4654"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karem D. Marcomini","raw_affiliation_strings":["Univ. de S\u00e3o Paulo (Brazil)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. de S\u00e3o Paulo (Brazil)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003027915","display_name":"Homero Schiabel","orcid":"https://orcid.org/0000-0002-7014-948X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Homero Schiabel","raw_affiliation_strings":["Univ. de S\u00e3o Paulo (Brazil)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. de S\u00e3o Paulo (Brazil)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01096148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9784","issue":null,"first_page":"978426","last_page":"978426"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/centroid","display_name":"Centroid","score":0.8747369050979614},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.7526119947433472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6784284710884094},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6576569080352783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6198583245277405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6099457740783691},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44652771949768066},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4235479235649109},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3542281985282898},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.14700087904930115},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08029243350028992}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8747369050979614},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.7526119947433472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6784284710884094},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6576569080352783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6198583245277405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6099457740783691},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44652771949768066},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4235479235649109},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3542281985282898},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.14700087904930115},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08029243350028992},{"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":1,"locations":[{"id":"doi:10.1117/12.2217026","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217026","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1991113069","https://openalex.org/W1992105208","https://openalex.org/W2052141466","https://openalex.org/W2113076747","https://openalex.org/W2133059825","https://openalex.org/W2266314792","https://openalex.org/W6693326736"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W2996505764","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1,109],"work":[2],"some":[3],"segmentation":[4,118],"techniques":[5,36],"are":[6],"evaluated":[7],"by":[8,98],"using":[9],"a":[10,89,103,120],"simple":[11],"centroid-based":[12],"classification":[13,83],"system":[14],"regarding":[15],"breast":[16,116],"mass":[17],"delineation":[18],"in":[19,124],"digital":[20],"mammography":[21,55],"images.":[22],"The":[23,81],"aim":[24],"is":[25],"to":[26,52],"determine":[27],"the":[28,93,99,112],"best":[29,94],"one":[30,73],"for":[31,74,78,115],"future":[32],"CADx":[33],"developments.":[34],"Six":[35],"were":[37,50,71,96],"tested:":[38],"Otsu,":[39],"SOM,":[40],"EICAMM,":[41],"Fuzzy":[42],"C-Means,":[43],"K-Means":[44],"and":[45,68,76,92],"Level-Set.":[46],"All":[47],"of":[48,64,105],"them":[49],"applied":[51],"segment":[53],"317":[54],"images":[56],"from":[57],"DDSM":[58],"database.":[59],"A":[60],"single":[61],"compact":[62],"set":[63],"attributes":[65],"was":[66,84],"extracted":[67],"two":[69],"centroids":[70],"defined,":[72],"malignant":[75],"another":[77],"benign":[79],"cases.":[80],"final":[82],"based":[85],"on":[86],"proximity":[87],"with":[88,102],"given":[90],"centroid":[91],"results":[95],"presented":[97],"Level-Set":[100],"technique":[101],"68.1%":[104],"Accuracy,":[106],"which":[107],"indicates":[108],"method":[110],"as":[111],"most":[113],"promising":[114],"masses":[117],"aiming":[119],"more":[121],"precise":[122],"interpretation":[123],"schemes":[125],"CADx.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
