{"id":"https://openalex.org/W2883141290","doi":"https://doi.org/10.1109/isspit.2018.8642669","title":"Multiple Convolutional Neural Network for Skin Dermoscopic Image Classification","display_name":"Multiple Convolutional Neural Network for Skin Dermoscopic Image Classification","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2883141290","doi":"https://doi.org/10.1109/isspit.2018.8642669","mag":"2883141290"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2018.8642669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2018.8642669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5026927275","display_name":"Yanhui Guo","orcid":"https://orcid.org/0000-0003-1814-9682"},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanhui Guo","raw_affiliation_strings":["Department of Computer Science, University of Illinois Springfield, Springfield, Illinois, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois Springfield, Springfield, Illinois, USA","institution_ids":["https://openalex.org/I79884896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068271733","display_name":"Amira S. Ashour","orcid":"https://orcid.org/0000-0003-3217-6185"},"institutions":[{"id":"https://openalex.org/I21376657","display_name":"Tanta University","ror":"https://ror.org/016jp5b92","country_code":"EG","type":"education","lineage":["https://openalex.org/I21376657"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Amira S. Ashour","raw_affiliation_strings":["Department of Electronics and Electrical Communications Faculty of Engineering, Tanta University, Tanta, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communications Faculty of Engineering, Tanta University, Tanta, Egypt","institution_ids":["https://openalex.org/I21376657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330134","display_name":"Lei Si","orcid":"https://orcid.org/0000-0002-1886-0362"},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Si","raw_affiliation_strings":["Department of Computer Science, University of Illinois Springfield, Springfield, Illinois, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois Springfield, Springfield, Illinois, USA","institution_ids":["https://openalex.org/I79884896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071989212","display_name":"Deep P Mandalaywala","orcid":null},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deep P Mandalaywala","raw_affiliation_strings":["Department of Computer Science, University of Illinois Springfield, Springfield, Illinois, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois Springfield, Springfield, Illinois, USA","institution_ids":["https://openalex.org/I79884896"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.9133,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97187929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998999834060669,"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":0.9998999834060669,"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":0.968999981880188,"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/T11144","display_name":"melanin and skin pigmentation","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7491393685340881},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7230075597763062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6441446542739868},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6438120603561401},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5957149267196655},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5112326145172119},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48549512028694153},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4735136330127716},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4533098340034485},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4321843981742859},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2873844802379608},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25863051414489746},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17628270387649536}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7491393685340881},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7230075597763062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6441446542739868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6438120603561401},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5957149267196655},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5112326145172119},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48549512028694153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4735136330127716},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4533098340034485},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4321843981742859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2873844802379608},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25863051414489746},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17628270387649536},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2018.8642669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2018.8642669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1952697361","https://openalex.org/W1996828958","https://openalex.org/W2032592968","https://openalex.org/W2038230718","https://openalex.org/W2128361521","https://openalex.org/W2141174215","https://openalex.org/W2151379841","https://openalex.org/W2158698691","https://openalex.org/W2180648740","https://openalex.org/W2197223281","https://openalex.org/W2426942631","https://openalex.org/W2481480328","https://openalex.org/W2559090303","https://openalex.org/W2581082771","https://openalex.org/W2594893939","https://openalex.org/W2602631755","https://openalex.org/W2604384166","https://openalex.org/W2767115988","https://openalex.org/W2786147899","https://openalex.org/W2963946669","https://openalex.org/W4285719527","https://openalex.org/W6686022023","https://openalex.org/W6721831709","https://openalex.org/W6735381419","https://openalex.org/W6735782011"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2952813363","https://openalex.org/W4378678253","https://openalex.org/W2911497689","https://openalex.org/W4360783045"],"abstract_inverted_index":{"Melanoma":[0],"classification":[1,108],"is":[2,12,88],"a":[3,14,57],"serious":[4],"stage":[5],"to":[6,18,65,118,138],"identify":[7],"the":[8,19,29,32,43,93,99,120,123,133,140,143],"skin":[9,24],"disease.":[10],"It":[11],"considered":[13],"challenging":[15],"process":[16],"due":[17],"intra-class":[20],"discrepancy":[21],"of":[22,38,122,128,142],"melanomas,":[23],"lesions\u2019":[25],"low":[26],"contrast,":[27],"and":[28,42,47,90,95,110],"artifacts":[30],"in":[31,70],"dermoscopy":[33],"images,":[34,72],"including":[35],"noise,":[36],"existence":[37],"hair,":[39],"air":[40],"bubbles,":[41],"similarity":[44],"between":[45],"melanoma":[46,49],"non-":[48],"cases.":[50],"To":[51],"solve":[52],"these":[53],"problems,":[54],"we":[55],"propose":[56],"novel":[58],"multiple":[59],"convolution":[60],"neural":[61],"network":[62],"model":[63,87],"(MCNN)":[64],"classify":[66],"different":[67],"disease":[68],"types":[69],"dermoscopic":[71],"where":[73],"several":[74],"models":[75],"were":[76,136],"trained":[77,89],"separately":[78],"using":[79,92],"an":[80],"additive":[81],"sample":[82],"learning":[83],"strategy.":[84],"The":[85,107,126],"MCNN":[86],"tested":[91],"training":[94],"validation":[96],"sets":[97],"from":[98],"International":[100],"Skin":[101],"Imaging":[102],"Collaboration":[103],"(ISIC":[104],"2016),":[105],"respectively.":[106],"accuracy":[109],"receiver":[111],"operating":[112],"characteristic":[113],"(ROC)":[114],"curve":[115],"are":[116],"used":[117,137],"evaluate":[119,139],"performance":[121,141],"proposed":[124],"method.":[125],"values":[127],"AUC":[129],"(the":[130],"area":[131],"under":[132],"ROC":[134],"curve)":[135],"MCNN.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}