{"id":"https://openalex.org/W1573906525","doi":"https://doi.org/10.1109/jbhi.2014.2332760","title":"Computer-Aided Diagnosis in Hysteroscopic Imaging","display_name":"Computer-Aided Diagnosis in Hysteroscopic Imaging","publication_year":2014,"publication_date":"2014-06-25","ids":{"openalex":"https://openalex.org/W1573906525","doi":"https://doi.org/10.1109/jbhi.2014.2332760","mag":"1573906525","pmid":"https://pubmed.ncbi.nlm.nih.gov/24968338"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2014.2332760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2014.2332760","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/2553860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052477469","display_name":"Marios Neofytou","orcid":"https://orcid.org/0000-0001-6941-8518"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"M. S. Neofytou","raw_affiliation_strings":["Department of Computer Science, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110059832","display_name":"V. Tanos","orcid":null},"institutions":[{"id":"https://openalex.org/I2800878267","display_name":"American Heart Institute","ror":"https://ror.org/01p87k189","country_code":"CY","type":"healthcare","lineage":["https://openalex.org/I2800878267"]},{"id":"https://openalex.org/I4210119545","display_name":"Aretaeio Hospital","ror":"https://ror.org/02qvqb543","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210119545"]}],"countries":["CY","GR"],"is_corresponding":false,"raw_author_name":"V. Tanos","raw_affiliation_strings":["Aretaeio Medical Center, Nicosia, Cyprus",", Aretaeio Medical Center, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aretaeio Medical Center, Nicosia, Cyprus","institution_ids":["https://openalex.org/I4210119545"]},{"raw_affiliation_string":", Aretaeio Medical Center, Nicosia, Cyprus","institution_ids":["https://openalex.org/I2800878267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076601989","display_name":"Ioannis Constantinou","orcid":"https://orcid.org/0009-0003-4898-5670"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"I. Constantinou","raw_affiliation_strings":["Department of Computer Science, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034003758","display_name":"Efthyvoulos Kyriacou","orcid":"https://orcid.org/0000-0002-4589-519X"},"institutions":[{"id":"https://openalex.org/I38552033","display_name":"Frederick University","ror":"https://ror.org/05d8tf882","country_code":"CY","type":"education","lineage":["https://openalex.org/I38552033"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"E. C. Kyriacou","raw_affiliation_strings":["Department of Computer Science and Engineering, Frederick University, Limassol, Cyprus","Dept. of Comput. Sci. & Eng., Frederick Univ., Limassol, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Frederick University, Limassol, Cyprus","institution_ids":["https://openalex.org/I38552033"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Frederick Univ., Limassol, Cyprus","institution_ids":["https://openalex.org/I38552033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377331","display_name":"Marios S. Pattichis","orcid":"https://orcid.org/0000-0002-1574-1827"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. S. Pattichis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","[Dept. of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I169521973"]},{"raw_affiliation_string":"[Dept. of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM, USA]","institution_ids":["https://openalex.org/I169521973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079839426","display_name":"Constantinos S. Pattichis","orcid":"https://orcid.org/0000-0003-1271-8151"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"C. S. Pattichis","raw_affiliation_strings":["Department of Computer Science, University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1143,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88963938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"1129","last_page":"1136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9444000124931335,"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":0.9444000124931335,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9052000045776367,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7885696887969971},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6874109506607056},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6729012131690979},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.6617290377616882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268104314804077},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5469787120819092},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5218947529792786},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5200928449630737},{"id":"https://openalex.org/keywords/reproducibility","display_name":"Reproducibility","score":0.4742783010005951},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4309746026992798},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.41855788230895996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3835524916648865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3111304044723511},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2965794503688812},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.21815690398216248},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.131601482629776}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7885696887969971},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6874109506607056},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6729012131690979},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.6617290377616882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268104314804077},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5469787120819092},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5218947529792786},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5200928449630737},{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.4742783010005951},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4309746026992798},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.41855788230895996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3835524916648865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3111304044723511},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2965794503688812},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.21815690398216248},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.131601482629776},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"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":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014599","descriptor_name":"Uterus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D014599","descriptor_name":"Uterus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D014599","descriptor_name":"Uterus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D015907","descriptor_name":"Hysteroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015907","descriptor_name":"Hysteroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015907","descriptor_name":"Hysteroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016889","descriptor_name":"Endometrial Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D016889","descriptor_name":"Endometrial Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D016889","descriptor_name":"Endometrial Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D016889","descriptor_name":"Endometrial Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D016889","descriptor_name":"Endometrial Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D016889","descriptor_name":"Endometrial Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2014.2332760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2014.2332760","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:24968338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24968338","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:zenodo.org:2553860","is_oa":true,"landing_page_url":"https://zenodo.org/record/2553860","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"19(3) 1129-1136","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:2553860","is_oa":true,"landing_page_url":"https://zenodo.org/record/2553860","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"19(3) 1129-1136","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1481646516","https://openalex.org/W1554944419","https://openalex.org/W1645564793","https://openalex.org/W1964168965","https://openalex.org/W1986662885","https://openalex.org/W2010579669","https://openalex.org/W2012323375","https://openalex.org/W2026989109","https://openalex.org/W2032504809","https://openalex.org/W2044465660","https://openalex.org/W2055858576","https://openalex.org/W2059283856","https://openalex.org/W2066744005","https://openalex.org/W2088040235","https://openalex.org/W2089472013","https://openalex.org/W2117395697","https://openalex.org/W2117710396","https://openalex.org/W2138377126","https://openalex.org/W2140753590","https://openalex.org/W2153635508","https://openalex.org/W2153700220","https://openalex.org/W2163919642","https://openalex.org/W2167003500","https://openalex.org/W2171033594","https://openalex.org/W2319451867","https://openalex.org/W2418271149","https://openalex.org/W2439318693","https://openalex.org/W2483986988","https://openalex.org/W4250059488"],"related_works":["https://openalex.org/W2413717610","https://openalex.org/W1973270181","https://openalex.org/W2417696084","https://openalex.org/W2368782778","https://openalex.org/W2087830269","https://openalex.org/W3106281778","https://openalex.org/W4391250903","https://openalex.org/W2044518000","https://openalex.org/W2173680380","https://openalex.org/W3130768294"],"abstract_inverted_index":{"The":[0,18,42,57,118],"paper":[1],"presents":[2],"the":[3,12,38,70,88,98,132,191,209],"development":[4],"of":[5,15,37,50,87,188],"a":[6],"computer-aided":[7],"diagnostic":[8],"(CAD)":[9],"system":[10,21,44,212],"for":[11,140],"early":[13],"detection":[14],"endometrial":[16],"cancer.":[17],"proposed":[19,210],"CAD":[20,43,211],"supports":[22],"reproducibility":[23],"through":[24],"texture":[25,40,100,119,143,156,164],"feature":[26],"standardization,":[27],"standardized":[28],"multifeature":[29],"selection,":[30],"and":[31,64,77,82,92,112,131,181,199],"provides":[32],"physicians":[33],"with":[34,126,202],"comparative":[35],"distributions":[36],"extracted":[39,53,97,145,158,166],"features.":[41],"was":[45],"validated":[46],"using":[47,197],"516":[48],"regions":[49],"interest":[51],"(ROIs)":[52],"from":[54,146,159,167],"52":[55],"subjects.":[56],"ROIs":[58,148,171],"were":[59,73,121,149,172,194],"equally":[60],"distributed":[61],"among":[62],"normal":[63,160,168],"abnormal":[65,147,170],"cases.":[66],"To":[67],"support":[68,127],"reproducibility,":[69],"RGB":[71,93],"images":[72],"first":[74],"gamma":[75],"corrected":[76],"then":[78,122],"converted":[79],"into":[80],"HSV":[81],"YCrCb.":[83],"From":[84],"each":[85],"channel":[86],"gamma-corrected":[89],"YCrCb,":[90],"HSV,":[91],"color":[94],"systems,":[95],"we":[96],"following":[99],"features:":[101],"1)":[102],"statistical":[103],"features":[104,120,144,157,165,201],"(SFs),":[105],"2)":[106],"spatial":[107],"gray-level":[108,114],"dependence":[109],"matrices":[110],"(SGLDM),":[111],"3)":[113],"difference":[115],"statistics":[116],"(GLDS).":[117],"used":[123],"as":[124],"inputs":[125],"vector":[128],"machines":[129],"(SVMs)":[130],"probabilistic":[133],"neural":[134],"network":[135],"(PNN)":[136],"classifiers.":[137],"After":[138],"accounting":[139],"multiple":[141],"comparisons,":[142],"found":[150],"to":[151,163],"be":[152],"significantly":[153],"different":[154],"than":[155],"ROIs.":[161],"Compared":[162],"ROIs,":[169],"characterized":[173],"by":[174,196],"lower":[175],"image":[176],"intensity,":[177],"while":[178],"variance,":[179],"entropy,":[180],"contrast":[182],"gave":[183],"higher":[184],"values.":[185],"In":[186],"terms":[187],"ROI":[189],"classification,":[190],"best":[192],"results":[193],"achieved":[195,213],"SF":[198],"GLDS":[200],"an":[203,214],"SVM":[204],"classifier.":[205],"For":[206],"this":[207],"combination,":[208],"81%":[215],"correct":[216],"classification":[217],"rate.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
