{"id":"https://openalex.org/W2533832614","doi":"https://doi.org/10.1109/embc.2016.7590781","title":"Semi-advised learning model for skin cancer diagnosis based on histopathalogical images","display_name":"Semi-advised learning model for skin cancer diagnosis based on histopathalogical images","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2533832614","doi":"https://doi.org/10.1109/embc.2016.7590781","mag":"2533832614","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268407"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7590781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5070424069","display_name":"Ammara Masood","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ammara Masood","raw_affiliation_strings":["University of Technology, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062452600","display_name":"Adel Al-Jumaily","orcid":"https://orcid.org/0000-0003-0297-2463"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Adel Al-Jumaily","raw_affiliation_strings":["School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070424069"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.7885,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.76493291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2016","issue":null,"first_page":"631","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9872000217437744,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9217000007629395,"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":0.7720012664794922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490345239639282},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7140771150588989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5746458172798157},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5561954975128174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5086577534675598},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4771815538406372},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42962053418159485},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42404627799987793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23922714591026306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11443483829498291}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7720012664794922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490345239639282},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7140771150588989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5746458172798157},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5561954975128174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5086577534675598},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4771815538406372},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42962053418159485},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42404627799987793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23922714591026306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11443483829498291},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","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":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2016.7590781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268407","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268407","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/122867","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/122867","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W92894758","https://openalex.org/W1532327008","https://openalex.org/W1568244992","https://openalex.org/W1980051613","https://openalex.org/W1998451602","https://openalex.org/W2044529480","https://openalex.org/W2097089247","https://openalex.org/W2110798204","https://openalex.org/W2142114717","https://openalex.org/W2145094598","https://openalex.org/W2156909104","https://openalex.org/W2400438660","https://openalex.org/W2538588707","https://openalex.org/W2997574889","https://openalex.org/W6603760306","https://openalex.org/W6631654266","https://openalex.org/W6676481782"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W2795259429"],"abstract_inverted_index":{"Computer":[0],"aided":[1],"classification":[2,15,25,87,99,155,189],"of":[3,11,44,60,78,105,115,146,169],"skin":[4,61],"cancer":[5,62],"images":[6,149],"is":[7,69,95,141,157],"an":[8,91],"active":[9],"area":[10],"research":[12],"and":[13,120,163,177,185],"different":[14],"methods":[16,162],"has":[17],"been":[18],"proposed":[19,139,165],"so":[20],"far.":[21],"However,":[22],"the":[23,36,42,86,103,116,129,164,170],"supervised":[24,179],"models":[26],"based":[27,188],"on":[28,143],"insufficient":[29],"labeled":[30,46,80],"training":[31],"data":[32,47,73,81,107],"can":[33],"badly":[34],"influence":[35],"diagnosis":[37],"process.":[38],"To":[39,111],"deal":[40],"with":[41,159],"problem":[43],"limited":[45,79],"availability":[48],"this":[49],"paper":[50],"presents":[51],"a":[52,144],"semi":[53,178],"advised":[54,92,109,118],"learning":[55],"model":[56,140,166],"for":[57,82],"automated":[58],"recognition":[59],"using":[63,71,108,133],"histopathalogical":[64,148],"images.":[65],"Deep":[66,121],"belief":[67,122],"architecture":[68],"constructed":[70],"unlabeled":[72],"by":[74,101],"making":[75],"efficient":[76],"use":[77],"fine":[83],"tuning":[84],"done":[85],"model.":[88,190],"In":[89],"parallel":[90],"SVM":[93,119,176,187],"algorithm":[94,184],"used":[96],"to":[97],"enhance":[98],"results":[100,130],"counteracting":[102],"effect":[104],"misclassified":[106],"weights.":[110],"increase":[112],"generalization":[113],"capability":[114],"model,":[117],"network":[123],"are":[124,131],"trained":[125],"in":[126],"parallel.":[127],"Then":[128],"aggregated":[132],"least":[134],"square":[135],"estimation":[136],"weighting.":[137],"The":[138,154],"tested":[142],"collection":[145],"300":[147],"taken":[150],"from":[151],"biopsy":[152],"samples.":[153],"performance":[156],"compared":[158],"some":[160],"popular":[161,171],"outperformed":[167],"most":[168],"techniques":[172],"including":[173],"KNN,":[174],"ANN,":[175],"algorithms":[180],"like":[181],"Expectation":[182],"maximization":[183],"transductive":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
