{"id":"https://openalex.org/W2115839968","doi":"https://doi.org/10.1186/1471-2342-14-12","title":"Mammographic images segmentation based on chaotic map clustering algorithm","display_name":"Mammographic images segmentation based on chaotic map clustering algorithm","publication_year":2014,"publication_date":"2014-03-25","ids":{"openalex":"https://openalex.org/W2115839968","doi":"https://doi.org/10.1186/1471-2342-14-12","mag":"2115839968","pmid":"https://pubmed.ncbi.nlm.nih.gov/24666766"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2342-14-12","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2342-14-12","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/1471-2342-14-12","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/1471-2342-14-12","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111811263","display_name":"M. Iacomi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111774","display_name":"Association for Liberty and Equality of Gender","ror":"https://ror.org/01t2cn246","country_code":"RO","type":"nonprofit","lineage":["https://openalex.org/I4210111774"]},{"id":"https://openalex.org/I4210142834","display_name":"Institute of Space Science - INFLPR Subsidiary","ror":"https://ror.org/054a6wv56","country_code":"RO","type":"facility","lineage":["https://openalex.org/I4210142834"]},{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT","RO"],"is_corresponding":false,"raw_author_name":"Marius Iacomi","raw_affiliation_strings":["Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy","Institutul de \u015etiin\u0163e Spa\u0163iale, Bucharest, M\u0103gurele, Romania","Institutul de \u015etiin\u0163e Spa\u0163iale, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]},{"raw_affiliation_string":"Institutul de \u015etiin\u0163e Spa\u0163iale, Bucharest, M\u0103gurele, Romania","institution_ids":["https://openalex.org/I4210142834"]},{"raw_affiliation_string":"Institutul de \u015etiin\u0163e Spa\u0163iale, Bucharest, Romania","institution_ids":["https://openalex.org/I4210111774"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004146628","display_name":"Donato Cascio","orcid":"https://orcid.org/0000-0001-6522-1259"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Donato Cascio","raw_affiliation_strings":["Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy. donato.cascio@unipa.it","Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy. donato.cascio@unipa.it","institution_ids":["https://openalex.org/I900890020"]},{"raw_affiliation_string":"Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112225883","display_name":"F. Fauci","orcid":null},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Fauci","raw_affiliation_strings":["Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085510904","display_name":"G. Raso","orcid":"https://orcid.org/0000-0002-5660-3711"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Raso","raw_affiliation_strings":["Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Fisica e Chimica, Universit\u00e0 Degli Studi di Palermo, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.225,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.90796694,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"1","first_page":"12","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.27810001373291016,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.27810001373291016,"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/T10862","display_name":"AI in cancer detection","score":0.2345000058412552,"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/T10320","display_name":"Neural Networks and Applications","score":0.09369999915361404,"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/segmentation","display_name":"Segmentation","score":0.7386270761489868},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7375307083129883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7155944108963013},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6555946469306946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6465081572532654},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6280841827392578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5847364664077759},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5582968592643738},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5461264252662659},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5188104510307312},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5061308741569519},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4361395537853241},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37249672412872314}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7386270761489868},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7375307083129883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7155944108963013},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6555946469306946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6465081572532654},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6280841827392578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5847364664077759},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5582968592643738},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5461264252662659},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5188104510307312},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5061308741569519},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4361395537853241},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37249672412872314},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002114","descriptor_name":"Calcinosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002114","descriptor_name":"Calcinosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D002114","descriptor_name":"Calcinosis","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"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":"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011856","descriptor_name":"Radiographic Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2342-14-12","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2342-14-12","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/1471-2342-14-12","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:24666766","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24666766","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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:europepmc.org:2984161","is_oa":true,"landing_page_url":"http://europepmc.org/articles/PMC3987162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:iris.unipa.it:10447/93529","is_oa":true,"landing_page_url":"http://www.biomedcentral.com/1471-2342/14/12","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3987162","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3987162","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2342-14-12","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2342-14-12","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/1471-2342-14-12","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2115839968.pdf","grobid_xml":"https://content.openalex.org/works/W2115839968.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W14481880","https://openalex.org/W137368444","https://openalex.org/W155524655","https://openalex.org/W608828860","https://openalex.org/W611237887","https://openalex.org/W957532665","https://openalex.org/W1489903231","https://openalex.org/W1632716540","https://openalex.org/W1636781679","https://openalex.org/W1748326342","https://openalex.org/W1844572832","https://openalex.org/W1966086316","https://openalex.org/W1976474044","https://openalex.org/W1978627835","https://openalex.org/W1982727877","https://openalex.org/W1987423076","https://openalex.org/W2004031835","https://openalex.org/W2009709115","https://openalex.org/W2022774412","https://openalex.org/W2026395347","https://openalex.org/W2043154233","https://openalex.org/W2044465660","https://openalex.org/W2048183254","https://openalex.org/W2053803205","https://openalex.org/W2059432853","https://openalex.org/W2063087172","https://openalex.org/W2071717081","https://openalex.org/W2074763989","https://openalex.org/W2079399767","https://openalex.org/W2080200164","https://openalex.org/W2083955294","https://openalex.org/W2084237097","https://openalex.org/W2087401978","https://openalex.org/W2096098213","https://openalex.org/W2103820346","https://openalex.org/W2140943046","https://openalex.org/W2144296781","https://openalex.org/W2145257987","https://openalex.org/W2147387989","https://openalex.org/W2166509719","https://openalex.org/W2494278345","https://openalex.org/W2535085154","https://openalex.org/W2540980778","https://openalex.org/W2542303507","https://openalex.org/W2582611927","https://openalex.org/W3121295931","https://openalex.org/W4253920039"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320"],"abstract_inverted_index":{"BACKGROUND:":[0],"This":[1],"work":[2],"investigates":[3],"the":[4,12,40,61,65,78,82,93,97,116,137,140,143,154,177,180,183,193,201,219,228,234,237],"applicability":[5],"of":[6,14,30,39,54,60,95,115,142,145,153,162,179,196,204,236],"a":[7,35,52,71,111,124],"novel":[8],"clustering":[9,21,186],"approach":[10],"to":[11,25,70,104,110,176],"segmentation":[13,113,210,220],"mammographic":[15,118,181],"digital":[16],"images.":[17],"The":[18,43,121],"chaotic":[19,101,184],"map":[20,185],"algorithm":[22,187],"is":[23,45,68,89,199],"used":[24,191,216],"group":[26],"together":[27],"similar":[28],"subsets":[29,49],"image":[31,44],"pixels":[32,48],"resulting":[33],"in":[34,64,150],"medically":[36],"meaningful":[37],"partition":[38],"mammography.":[41],"METHODS:":[42],"divided":[46],"into":[47],"characterized":[50],"by":[51,172],"set":[53],"conveniently":[55],"chosen":[56],"features":[57],"and":[58,139,222],"each":[59],"corresponding":[62],"points":[63,88],"feature":[66,86],"space":[67,87],"associated":[69,83],"map.":[72],"A":[73],"mutual":[74],"coupling":[75],"strength":[76],"between":[77,85],"maps":[79],"depending":[80],"on":[81,160],"distance":[84],"subsequently":[90],"introduced.":[91],"On":[92],"system":[94,122],"maps,":[96],"simulated":[98],"evolution":[99],"through":[100],"dynamics":[102],"leads":[103],"its":[105],"natural":[106],"partitioning,":[107],"which":[108],"corresponds":[109],"particular":[112],"scheme":[114],"initial":[117],"image.":[119],"RESULTS:":[120],"provides":[123],"high":[125],"recognition":[126],"rate":[127],"for":[128,217,223,227],"small":[129],"mass":[130,164],"lesions":[131],"(about":[132],"94%":[133],"correctly":[134],"segmented":[135,238],"inside":[136],"breast)":[138],"reproduction":[141],"shape":[144],"regions":[146],"with":[147,208],"denser":[148],"micro-calcifications":[149],"about":[151],"2/3":[152],"cases,":[155],"while":[156],"being":[157],"less":[158],"effective":[159],"identification":[161],"larger":[163],"lesions.":[165],"CONCLUSIONS:":[166],"We":[167],"can":[168],"summarize":[169],"our":[170],"analysis":[171,230],"asserting":[173],"that":[174,212],"due":[175],"particularities":[178],"images,":[182],"should":[188],"not":[189],"be":[190,214],"as":[192,233],"sole":[194],"method":[195,206],"segmentation.":[197],"It":[198],"rather":[200],"joint":[202],"use":[203],"this":[205],"along":[207],"other":[209],"techniques":[211],"could":[213],"successfully":[215],"increasing":[218],"performance":[221],"providing":[224],"extra":[225],"information":[226],"subsequent":[229],"stages":[231],"such":[232],"classification":[235],"ROI.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
