{"id":"https://openalex.org/W3042433352","doi":"https://doi.org/10.1109/access.2020.3009276","title":"Deep Semantic Segmentation and Multi-Class Skin Lesion Classification Based on Convolutional Neural Network","display_name":"Deep Semantic Segmentation and Multi-Class Skin Lesion Classification Based on Convolutional Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3042433352","doi":"https://doi.org/10.1109/access.2020.3009276","mag":"3042433352"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3009276","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009276","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139937.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139937.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029355224","display_name":"Muhammad Almas Anjum","orcid":"https://orcid.org/0000-0001-6481-9611"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Muhammad Almas Anjum","raw_affiliation_strings":["College of Electrical and Mechanical Engineering, National University of Sciences & Technology (NUST), Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Mechanical Engineering, National University of Sciences & Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114041528","display_name":"Javaria Amin","orcid":null},"institutions":[{"id":"https://openalex.org/I192891849","display_name":"University of Wah","ror":"https://ror.org/020we4134","country_code":"PK","type":"education","lineage":["https://openalex.org/I192891849"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Javaria Amin","raw_affiliation_strings":["Department of Computer Science, University of Wah, Wah, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Wah, Wah, Pakistan","institution_ids":["https://openalex.org/I192891849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052505171","display_name":"Muhammad Sharif","orcid":"https://orcid.org/0000-0002-1355-2168"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Sharif","raw_affiliation_strings":["Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-1355-2168","affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091086588","display_name":"Habib Ullah Khan","orcid":"https://orcid.org/0000-0001-8373-2781"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Habib Ullah Khan","raw_affiliation_strings":["Department of Accounting and Information System, College of Business & Economics, Qatar University, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0001-8373-2781","affiliations":[{"raw_affiliation_string":"Department of Accounting and Information System, College of Business & Economics, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038265911","display_name":"Muhammad Sheraz Arshad Malik","orcid":"https://orcid.org/0000-0002-0944-6362"},"institutions":[{"id":"https://openalex.org/I194348271","display_name":"Government College University, Faisalabad","ror":"https://ror.org/051zgra59","country_code":"PK","type":"education","lineage":["https://openalex.org/I194348271"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Sheraz Arshad Malik","raw_affiliation_strings":["Department of Information Technology, Government College University Faisalabad, Faisalabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-0944-6362","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Government College University Faisalabad, Faisalabad, Pakistan","institution_ids":["https://openalex.org/I194348271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002855381","display_name":"Seifedine Kadry","orcid":"https://orcid.org/0000-0002-1939-4842"},"institutions":[{"id":"https://openalex.org/I36314861","display_name":"Beirut Arab University","ror":"https://ror.org/02jya5567","country_code":"LB","type":"education","lineage":["https://openalex.org/I36314861"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Seifedine Kadry","raw_affiliation_strings":["Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Beirut, Lebanon"],"raw_orcid":"https://orcid.org/0000-0002-1939-4842","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Beirut, Lebanon","institution_ids":["https://openalex.org/I36314861"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029355224"],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.8312,"has_fulltext":true,"cited_by_count":75,"citation_normalized_percentile":{"value":0.95053671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"129668","last_page":"129678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10392","display_name":"Cutaneous Melanoma Detection and Management","score":0.9998000264167786,"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":0.9998000264167786,"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/T11306","display_name":"Nonmelanoma Skin Cancer Studies","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.9556999802589417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.8427368402481079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7807439565658569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7607399225234985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7201912999153137},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6777223348617554},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6547960042953491},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6016680598258972},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46535924077033997},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44042131304740906},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4277970492839813},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.41802671551704407}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8427368402481079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7807439565658569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7607399225234985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7201912999153137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6777223348617554},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6547960042953491},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6016680598258972},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46535924077033997},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44042131304740906},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4277970492839813},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.41802671551704407}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3009276","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009276","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139937.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4304e0da749e4b5c86eef52aa24c5d04","is_oa":true,"landing_page_url":"https://doaj.org/article/4304e0da749e4b5c86eef52aa24c5d04","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 129668-129678 (2020)","raw_type":"article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/37772","is_oa":false,"landing_page_url":"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089508765&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3009276","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3009276","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139937.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1798614611","display_name":null,"funder_award_id":"IRCC-2020-009","funder_id":"https://openalex.org/F4320322472","funder_display_name":"Qatar University"}],"funders":[{"id":"https://openalex.org/F4320322472","display_name":"Qatar University","ror":"https://ror.org/00yhnba62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3042433352.pdf","grobid_xml":"https://content.openalex.org/works/W3042433352.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1545215082","https://openalex.org/W1554944419","https://openalex.org/W1563088657","https://openalex.org/W1573676079","https://openalex.org/W1998451602","https://openalex.org/W2028140761","https://openalex.org/W2072295766","https://openalex.org/W2078187356","https://openalex.org/W2151379841","https://openalex.org/W2160988670","https://openalex.org/W2171033594","https://openalex.org/W2279098554","https://openalex.org/W2404812871","https://openalex.org/W2407336108","https://openalex.org/W2460774276","https://openalex.org/W2465060226","https://openalex.org/W2570343428","https://openalex.org/W2581082771","https://openalex.org/W2618825156","https://openalex.org/W2803575519","https://openalex.org/W2808761706","https://openalex.org/W2885262262","https://openalex.org/W2895926103","https://openalex.org/W2900702386","https://openalex.org/W2910788234","https://openalex.org/W2946122943","https://openalex.org/W2946341834","https://openalex.org/W2954913281","https://openalex.org/W2955308063","https://openalex.org/W2962725274","https://openalex.org/W2963946669","https://openalex.org/W2985923995","https://openalex.org/W2988529604","https://openalex.org/W2999893750","https://openalex.org/W3001669684","https://openalex.org/W3005722217","https://openalex.org/W3006205887","https://openalex.org/W3013898854","https://openalex.org/W3014419815","https://openalex.org/W3036365526","https://openalex.org/W3161041626","https://openalex.org/W4292083457","https://openalex.org/W6632668435","https://openalex.org/W6695314431","https://openalex.org/W6753651959","https://openalex.org/W6756965382","https://openalex.org/W6772274955","https://openalex.org/W6794865725"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W3090555870","https://openalex.org/W4226420367","https://openalex.org/W2962876041","https://openalex.org/W3022820045","https://openalex.org/W2801655600","https://openalex.org/W3005627584","https://openalex.org/W2899027234"],"abstract_inverted_index":{"Skin":[0],"cancer":[1],"is":[2,38,136,148,187,201],"developed":[3],"due":[4],"to":[5,27,103,189],"abnormal":[6],"cell":[7],"growth.":[8],"These":[9],"cells":[10],"are":[11,68,83,90,175],"grown":[12],"rapidly":[13],"and":[14,43,79,98,133,158,172,196,211,220],"destroy":[15],"the":[16,29,36,46,65,104,111,115,141,152,156,190,204,222],"normal":[17],"skin":[18,47,66,223],"cells.":[19],"However,":[20],"it's":[21],"curable":[22],"at":[23,49,225],"an":[24,50,101,226],"initial":[25],"stage":[26],"reduce":[28],"patient's":[30],"mortality":[31],"rate.":[32],"In":[33,59,117,140],"this":[34],"article,":[35],"method":[37,55,200,216],"proposed":[39,54,142,199,215],"for":[40,138,150],"localization,":[41],"segmentation":[42,122,143],"classification":[44,146],"of":[45,64,95,114],"lesion":[48,67,224],"early":[51,227],"stage.":[52,228],"The":[53,88,106,183,198,214],"contains":[56],"three":[57],"phases.":[58],"phase":[60],"I,":[61],"different":[62],"types":[63],"localized":[69],"using":[70,169,177],"tinyYOLOv2":[71],"model":[72,82,108,123,171],"in":[73,163],"which":[74],"open":[75],"neural":[76],"network":[77],"(ONNX)":[78],"squeeze":[80,96],"Net":[81,97],"used":[84,137,149],"as":[85,100,193],"a":[86],"backbone.":[87],"features":[89,168,174,185],"extracted":[91],"from":[92],"depthconcat7":[93],"layer":[94,147],"passed":[99,188],"input":[102],"tinyYOLOv2.":[105],"propose":[107],"accurately":[109,217],"localize":[110],"affected":[112],"part":[113],"skin.":[116],"Phase":[118,164],"II,":[119],"13-layer":[120],"3D-semantic":[121],"(01":[124],"input,":[125],"04":[126],"convolutional,":[127],"03":[128,130],"batch-normalization,":[129],"ReLU,":[131],"softmax":[132],"pixel":[134,145],"classification)":[135],"segmentation.":[139],"model,":[144],"computing":[151],"overlap":[153],"region":[154],"between":[155],"segmented":[157,219],"ground":[159],"truth":[160],"images.":[161],"Later":[162],"III,":[165],"extract":[166],"deep":[167],"ResNet-18":[170],"optimized":[173,184,194],"selected":[176],"ant":[178],"colony":[179],"optimization":[180],"(ACO)":[181],"method.":[182],"vector":[186],"classifiers":[191],"such":[192],"(O)-SVM":[195],"O-NB.":[197],"evaluated":[202],"on":[203],"top":[205],"MICCAI":[206],"ISIC":[207],"challenging":[208],"2017,":[209],"2018":[210],"2019":[212],"datasets.":[213],"localized,":[218],"classified":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":10}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}