{"id":"https://openalex.org/W2105511530","doi":"https://doi.org/10.1109/tmi.2009.2033595","title":"Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers","display_name":"Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers","publication_year":2009,"publication_date":"2009-10-13","ids":{"openalex":"https://openalex.org/W2105511530","doi":"https://doi.org/10.1109/tmi.2009.2033595","mag":"2105511530","pmid":"https://pubmed.ncbi.nlm.nih.gov/19825516"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2009.2033595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2033595","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5067194140","display_name":"Francisco J. Veredas","orcid":"https://orcid.org/0000-0003-0739-2505"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"F. Veredas","raw_affiliation_strings":["Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, 29071 Spain. fvn@uma.es","Dept. de Lenguajes y Cienc. de la Comput., Univ. de Malaga, Malaga, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, 29071 Spain. fvn@uma.es","institution_ids":["https://openalex.org/I82767444"]},{"raw_affiliation_string":"Dept. de Lenguajes y Cienc. de la Comput., Univ. de Malaga, Malaga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072581607","display_name":"H\u00e9ctor Mesa","orcid":"https://orcid.org/0000-0002-9656-1456"},"institutions":[{"id":"https://openalex.org/I26840924","display_name":"Mediterranean University","ror":"https://ror.org/03tsjvt68","country_code":"ME","type":"education","lineage":["https://openalex.org/I26840924"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"H. Mesa","raw_affiliation_strings":["Mediterranean Institute of the Advance of Biotechnology and Health Research, Malaga, Spain","Adv. of Biotechnol. & Health Res., Mediterranean Inst., Malaga, Spain"],"affiliations":[{"raw_affiliation_string":"Mediterranean Institute of the Advance of Biotechnology and Health Research, Malaga, Spain","institution_ids":["https://openalex.org/I26840924"]},{"raw_affiliation_string":"Adv. of Biotechnol. & Health Res., Mediterranean Inst., Malaga, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030474651","display_name":"Laura Morente","orcid":null},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"L. Morente","raw_affiliation_strings":["\u00c1rea de Enfermer\u00eda Comunitaria, Diputaci\u00f3n de M\u00e1laga, Malaga, Spain","Area de Enfermeria Comunitaria, Diputacion de Malaga, Malaga, Spain"],"affiliations":[{"raw_affiliation_string":"\u00c1rea de Enfermer\u00eda Comunitaria, Diputaci\u00f3n de M\u00e1laga, Malaga, Spain","institution_ids":["https://openalex.org/I82767444"]},{"raw_affiliation_string":"Area de Enfermeria Comunitaria, Diputacion de Malaga, Malaga, Spain","institution_ids":["https://openalex.org/I82767444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067194140"],"corresponding_institution_ids":["https://openalex.org/I82767444"],"apc_list":null,"apc_paid":null,"fwci":5.3093,"has_fulltext":false,"cited_by_count":142,"citation_normalized_percentile":{"value":0.94570055,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":"2","first_page":"410","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10771","display_name":"Wound Healing and Treatments","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8109399080276489},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5864994525909424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863866209983826},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5624862909317017},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5077575445175171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5070805549621582},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49820971488952637},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4702281653881073},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46385857462882996},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4596843421459198},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43538686633110046},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.34390443563461304}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8109399080276489},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5864994525909424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863866209983826},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5624862909317017},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5077575445175171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5070805549621582},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49820971488952637},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4702281653881073},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46385857462882996},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4596843421459198},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43538686633110046},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.34390443563461304}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003668","descriptor_name":"Pressure Ulcer","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D003668","descriptor_name":"Pressure Ulcer","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D003668","descriptor_name":"Pressure Ulcer","qualifier_ui":"Q000473","qualifier_name":"pathology","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":"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":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2009.2033595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2033595","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:19825516","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19825516","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 transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W169725593","https://openalex.org/W299557216","https://openalex.org/W349770100","https://openalex.org/W1495743626","https://openalex.org/W1502916507","https://openalex.org/W1527335006","https://openalex.org/W1594727437","https://openalex.org/W1608694675","https://openalex.org/W1673002162","https://openalex.org/W1963500364","https://openalex.org/W1973310094","https://openalex.org/W1974557101","https://openalex.org/W1979332562","https://openalex.org/W1979432452","https://openalex.org/W1985977930","https://openalex.org/W1999186892","https://openalex.org/W2000645818","https://openalex.org/W2018880012","https://openalex.org/W2027966311","https://openalex.org/W2033575966","https://openalex.org/W2051084846","https://openalex.org/W2058072196","https://openalex.org/W2060058849","https://openalex.org/W2066772169","https://openalex.org/W2067191022","https://openalex.org/W2069890151","https://openalex.org/W2096521332","https://openalex.org/W2098300173","https://openalex.org/W2110564863","https://openalex.org/W2113543042","https://openalex.org/W2114677896","https://openalex.org/W2114840228","https://openalex.org/W2117658559","https://openalex.org/W2140753590","https://openalex.org/W2142860018","https://openalex.org/W2143070816","https://openalex.org/W2143834565","https://openalex.org/W2144801536","https://openalex.org/W2147828560","https://openalex.org/W2153635508","https://openalex.org/W2154264859","https://openalex.org/W2331628500","https://openalex.org/W2400251246","https://openalex.org/W2420748384","https://openalex.org/W2468247244","https://openalex.org/W2470242886","https://openalex.org/W2508865768","https://openalex.org/W2799061466","https://openalex.org/W3120421331","https://openalex.org/W4205687621","https://openalex.org/W4229995535","https://openalex.org/W4230020663","https://openalex.org/W4238717354","https://openalex.org/W4256068510","https://openalex.org/W6607021160","https://openalex.org/W6629956336","https://openalex.org/W6631462939","https://openalex.org/W6635738432","https://openalex.org/W6637398742","https://openalex.org/W6676846540","https://openalex.org/W6681465115","https://openalex.org/W6712885036","https://openalex.org/W6717365055","https://openalex.org/W6719837358"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2082756648","https://openalex.org/W3194278305","https://openalex.org/W2397288865","https://openalex.org/W2726838704","https://openalex.org/W2289648981","https://openalex.org/W4313906399","https://openalex.org/W2038474459"],"abstract_inverted_index":{"A":[0,115,139],"pressure":[1,27,53],"ulcer":[2,54],"is":[3,37,63,99,145,171,183],"a":[4,38,79,89,105,120,174,179,187,222],"clinical":[5,166],"pathology":[6],"of":[7,26,45,58,67,104,141,150,158,194,213],"localized":[8],"damage":[9],"to":[10,82,190,208],"the":[11,43,59,69,102,192,195,203,211,214,282,294],"skin":[12],"and":[13,24,47,96,119,130,152,155,243,276,280],"underlying":[14],"tissue":[15,110,160,227,292],"caused":[16],"by":[17,55,165,173,185],"pressure,":[18],"shear,":[19],"or":[20],"friction.":[21],"Diagnosis,":[22],"treatment,":[23],"care":[25],"ulcers":[28],"are":[29,123,133,163,206,230],"costly":[30],"for":[31,41,108,125,226],"health":[32],"services.":[33],"Accurate":[34],"wound":[35,70,113,204],"evaluation":[36],"critical":[39],"task":[40],"optimizing":[42],"efficacy":[44],"treatment":[46],"care.":[48],"Clinicians":[49],"usually":[50],"evaluate":[51],"each":[52],"visual":[56],"inspection":[57],"damaged":[60],"tissues,":[61],"which":[62,162],"an":[64],"imprecise":[65],"manner":[66],"assessing":[68],"state.":[71],"Current":[72],"computer":[73],"vision":[74],"approaches":[75],"do":[76],"not":[77],"offer":[78],"global":[80,256,266],"solution":[81],"this":[83,87,252],"particular":[84],"problem.":[85],"In":[86],"paper,":[88],"hybrid":[90],"approach":[91,225,263],"based":[92,201],"on":[93,202],"neural":[94,197],"networks":[95],"Bayesian":[97,180,188,239],"classifiers":[98,242],"used":[100],"in":[101,112,251,293],"design":[103],"computational":[106],"system":[107],"automatic":[109],"identification":[111],"images.":[114],"mean":[116],"shift":[117],"procedure":[118,170],"region-growing":[121],"strategy":[122],"implemented":[124],"effective":[126],"region":[127],"segmentation.":[128],"Color":[129],"texture":[131,153],"features":[132],"extracted":[134],"from":[135,221],"these":[136],"segmented":[137],"regions.":[138],"set":[140],"k":[142,196],"multilayer":[143],"perceptrons":[144],"trained":[146],"with":[147,232],"inputs":[148],"consisting":[149,157],"color":[151],"patterns,":[154],"outputs":[156],"categorical":[159],"classes":[161],"determined":[164],"experts.":[167],"This":[168],"training":[169,186],"driven":[172],"k-fold":[175],"cross-validation":[176],"method.":[177],"Finally,":[178],"committee":[181,240],"machine":[182,241],"formed":[184],"classifier":[189],"combine":[191],"classifications":[193],"networks.":[198],"Specific":[199],"heuristics":[200],"topology":[205],"designed":[207],"significantly":[209],"improve":[210],"results":[212],"classification.":[215],"We":[216],"obtain":[217],"high":[218,255,265],"efficiency":[219],"rates":[220,268],"binary":[223,261],"cascade":[224,262],"identification.":[228],"Results":[229],"compared":[231],"other":[233],"similar":[234],"machine-learning":[235],"approaches,":[236],"including":[237],"multiclass":[238],"support":[244],"vector":[245],"machines.":[246],"The":[247],"different":[248],"techniques":[249],"analyzed":[250],"paper":[253],"show":[254],"classification":[257],"accuracy":[258,277],"rates.":[259],"Our":[260],"gives":[264],"performance":[267],"(average":[269],"sensitivity":[270,285],"=78.7%":[271],",":[272,275],"specificity":[273],"=94.7%":[274],"=91.5%":[278],")":[279],"shows":[281],"highest":[283],"average":[284],"score":[286],"(":[287],"=86.3%)":[288],"when":[289],"detecting":[290],"necrotic":[291],"wound.":[295]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
