{"id":"https://openalex.org/W4281790784","doi":"https://doi.org/10.1155/2022/9726181","title":"Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features","display_name":"Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4281790784","doi":"https://doi.org/10.1155/2022/9726181","pmid":"https://pubmed.ncbi.nlm.nih.gov/35669372","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9167096"},"language":"en","primary_location":{"id":"doi:10.1155/2022/9726181","doi":"https://doi.org/10.1155/2022/9726181","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9726181","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/9726181.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2022/9726181.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044770699","display_name":"Shuang Yang","orcid":"https://orcid.org/0000-0001-9689-9003","observed_orcids":["https://orcid.org/0000-0001-9689-9003"]},"institutions":[{"id":"https://openalex.org/I134841294","display_name":"Binzhou Medical University","ror":"https://ror.org/008w1vb37","country_code":"CN","type":"education","lineage":["https://openalex.org/I134841294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Yang","raw_affiliation_strings":["Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China"],"raw_orcid":"https://orcid.org/0000-0001-9689-9003","affiliations":[{"raw_affiliation_string":"Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China","institution_ids":["https://openalex.org/I134841294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007585417","display_name":"Chunmei Shu","orcid":"https://orcid.org/0000-0003-0358-6206","observed_orcids":["https://orcid.org/0000-0003-0358-6206"]},"institutions":[{"id":"https://openalex.org/I134841294","display_name":"Binzhou Medical University","ror":"https://ror.org/008w1vb37","country_code":"CN","type":"education","lineage":["https://openalex.org/I134841294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Shu","raw_affiliation_strings":["Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China"],"raw_orcid":"https://orcid.org/0000-0003-0358-6206","affiliations":[{"raw_affiliation_string":"Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China","institution_ids":["https://openalex.org/I134841294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089717470","display_name":"Haiyou Hu","orcid":"https://orcid.org/0000-0001-7888-1192","observed_orcids":["https://orcid.org/0000-0001-7888-1192"]},"institutions":[{"id":"https://openalex.org/I134841294","display_name":"Binzhou Medical University","ror":"https://ror.org/008w1vb37","country_code":"CN","type":"education","lineage":["https://openalex.org/I134841294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyou Hu","raw_affiliation_strings":["Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China"],"raw_orcid":"https://orcid.org/0000-0001-7888-1192","affiliations":[{"raw_affiliation_string":"Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China","institution_ids":["https://openalex.org/I134841294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829234","display_name":"Guanghui Ma","orcid":"https://orcid.org/0000-0003-0499-2206","observed_orcids":["https://orcid.org/0000-0003-0499-2206"]},"institutions":[{"id":"https://openalex.org/I134841294","display_name":"Binzhou Medical University","ror":"https://ror.org/008w1vb37","country_code":"CN","type":"education","lineage":["https://openalex.org/I134841294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Ma","raw_affiliation_strings":["Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China"],"raw_orcid":"https://orcid.org/0000-0003-0499-2206","affiliations":[{"raw_affiliation_string":"Department of Dermato-Venereal, Binzhou Medical University Hospital, Binzhou, 256603 Shandong, China","institution_ids":["https://openalex.org/I134841294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025556546","display_name":"Min Yang","orcid":"https://orcid.org/0000-0003-2551-7527","observed_orcids":["https://orcid.org/0000-0003-2551-7527"]},"institutions":[{"id":"https://openalex.org/I134841294","display_name":"Binzhou Medical University","ror":"https://ror.org/008w1vb37","country_code":"CN","type":"education","lineage":["https://openalex.org/I134841294"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Yang","raw_affiliation_strings":["School of Nursing, Binzhou Medical University, Binzhou, 256603 Shandong, China"],"raw_orcid":"https://orcid.org/0000-0003-2551-7527","affiliations":[{"raw_affiliation_string":"School of Nursing, Binzhou Medical University, Binzhou, 256603 Shandong, China","institution_ids":["https://openalex.org/I134841294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025556546"],"corresponding_institution_ids":["https://openalex.org/I134841294"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":1.2409,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80309001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9810000061988831,"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":0.9810000061988831,"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":0.017400000244379044,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pigmented-nevus","display_name":"pigmented nevus","score":0.9929999709129333},{"id":"https://openalex.org/keywords/dermoscopy","display_name":"dermoscopy","score":0.8669999837875366},{"id":"https://openalex.org/keywords/dermoscopic-image-classification","display_name":"dermoscopic image classification","score":0.8980000019073486},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.8989999890327454},{"id":"https://openalex.org/keywords/linear-kernel","display_name":"linear kernel","score":0.5490000247955322},{"id":"https://openalex.org/keywords/junctional-nevus","display_name":"junctional nevus","score":0.9990000128746033},{"id":"https://openalex.org/keywords/intradermal-nevus","display_name":"intradermal nevus","score":0.9990000128746033},{"id":"https://openalex.org/keywords/pathological-features","display_name":"pathological features","score":0.6380000114440918},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"computer-aided diagnosis","score":0.722000002861023}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.575173020362854},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.5441232323646545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5356343388557434},{"id":"https://openalex.org/C2779323059","wikidata":"https://www.wikidata.org/wiki/Q692077","display_name":"Nevus","level":3,"score":0.5072500109672546},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.49618321657180786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3699617385864258},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36450624465942383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2924017310142517},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2862594723701477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17531940340995789},{"id":"https://openalex.org/C2777658100","wikidata":"https://www.wikidata.org/wiki/Q180614","display_name":"Melanoma","level":2,"score":0.1666984260082245},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008545","descriptor_name":"Melanoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009506","descriptor_name":"Nevus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009506","descriptor_name":"Nevus","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D009508","descriptor_name":"Nevus, Pigmented","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009508","descriptor_name":"Nevus, Pigmented","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012878","descriptor_name":"Skin Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D046169","descriptor_name":"Dermoscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1155/2022/9726181","doi":"https://doi.org/10.1155/2022/9726181","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9726181","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/9726181.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:35669372","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35669372","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,"listed_in":[],"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":"Computational and mathematical methods in medicine","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9167096","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9167096/","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Comput Math Methods Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2022/9726181","doi":"https://doi.org/10.1155/2022/9726181","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9726181","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2022/9726181.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8371999859809875}],"study_designs":[],"awards":[{"id":"https://openalex.org/G485494884","display_name":null,"funder_award_id":"20SKNY13","funder_id":"https://openalex.org/F4320324321","funder_display_name":"Binzhou Medical University"}],"funders":[{"id":"https://openalex.org/F4320324321","display_name":"Binzhou Medical University","ror":"https://ror.org/008w1vb37"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281790784.pdf","grobid_xml":"https://content.openalex.org/works/W4281790784.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1971313360","https://openalex.org/W2096119920","https://openalex.org/W2260862183","https://openalex.org/W2524552978","https://openalex.org/W2557849461","https://openalex.org/W2737644010","https://openalex.org/W2756050631","https://openalex.org/W2783564593","https://openalex.org/W2803575519","https://openalex.org/W2899380081","https://openalex.org/W2921785317","https://openalex.org/W2947263797","https://openalex.org/W2948309692","https://openalex.org/W2968318837","https://openalex.org/W2985003253","https://openalex.org/W2991721963","https://openalex.org/W2994026422","https://openalex.org/W3022703997","https://openalex.org/W3022763969","https://openalex.org/W3025806813","https://openalex.org/W3045827876","https://openalex.org/W3086535114","https://openalex.org/W3110602624","https://openalex.org/W3145215244","https://openalex.org/W4214834600"],"related_works":["https://openalex.org/W3032011739","https://openalex.org/W2944102448","https://openalex.org/W4401753178","https://openalex.org/W7214229721","https://openalex.org/W4401357449","https://openalex.org/W3113640146","https://openalex.org/W2984790223","https://openalex.org/W2605411519","https://openalex.org/W4293570860","https://openalex.org/W1999186892"],"abstract_inverted_index":{"The":[0,86,101,115,144,207],"objective":[1],"of":[2,14,64,81,146,163,198,205,210,220],"this":[3],"study":[4],"was":[5,56,92,99,120,150,155],"to":[6],"explore":[7],"the":[8,29,68,77,90,95,132,147,153,158,161,164,177,203,218],"image":[9,69],"classification":[10,63,72],"and":[11,32,45,62,67,71,79,94,112,127,131,152,160,169,222],"case":[12],"characteristics":[13],"pigmented":[15],"nevus":[16],"(PN)":[17],"diagnosed":[18],"by":[19],"dermoscopy":[20,187],"under":[21,117,124,188],"deep":[22,189],"learning.":[23],"268":[24],"patients":[25],"were":[26,34,74,84,137,167,173],"included":[27,105],"as":[28,76,194],"research":[30],"objects":[31],"they":[33],"randomly":[35],"divided":[36],"into":[37],"observation":[38,148],"group":[39,47,149,166],"(":[40,48,139,180],"n":[41,49],"=":[42,50],"134":[43,51],")":[44],"control":[46,165],").":[52,143,184],"Image":[53],"recognition":[54,70],"algorithm":[55,73],"used":[57],"for":[58],"feature":[59,125,129],"extraction,":[60],"segmentation,":[61],"dermoscopic":[65,208],"images,":[66],"studied":[75,103],"performance":[78],"accuracy":[80,98,204],"fusion":[82,128],"classifier":[83,91],"compared.":[85],"results":[87],"showed":[88,212],"that":[89,123],"optimized,":[93],"linear":[96],"kernel":[97],"85.82%.":[100],"PN":[102,211],"mainly":[104],"mixed":[106],"nevus,":[107,109,111],"junctional":[108],"intradermal":[110],"acral":[113],"nevus.":[114],"sensitivity":[116,145,159],"collaborative":[118],"training":[119,126],"higher":[121],"than":[122],"training,":[130],"differences":[133,175],"among":[134],"three":[135],"trainings":[136],"significant":[138,174],"P":[140,181],"<":[141,182],"0.05":[142,183],"88.65%,":[151],"specificity":[154,162],"90.26%,":[156],"while":[157],"85.65%":[168],"84.03%,":[170],"respectively;":[171],"there":[172],"between":[176],"two":[178],"groups":[179],"In":[185],"conclusion,":[186],"learning":[190],"could":[191,223,231],"be":[192,232],"applied":[193,233],"a":[195,213],"diagnostic":[196],"way":[197],"PN,":[199],"which":[200],"helped":[201],"improve":[202],"diagnosis.":[206],"manifestations":[209],"certain":[214],"corresponding":[215],"relationship":[216],"with":[217],"type":[219],"cases":[221],"provide":[224],"auxiliary":[225],"diagnosis":[226],"in":[227],"clinical":[228],"practice.":[229],"It":[230],"clinically.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-06-13T00:00:00"}