{"id":"https://openalex.org/W3128535088","doi":"https://doi.org/10.1109/bibm49941.2020.9313451","title":"Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network","display_name":"Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3128535088","doi":"https://doi.org/10.1109/bibm49941.2020.9313451","mag":"3128535088"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","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/A5047371218","display_name":"Jie Song","orcid":"https://orcid.org/0000-0003-3671-6521"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jie Song","raw_affiliation_strings":["School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050374","display_name":"Jiawei Li","orcid":"https://orcid.org/0000-0002-8171-478X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawei Li","raw_affiliation_strings":["School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011505829","display_name":"Shiqiang Ma","orcid":"https://orcid.org/0009-0004-2329-5873"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shiqiang Ma","raw_affiliation_strings":["School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001619694","display_name":"Jijun Tang","orcid":"https://orcid.org/0000-0002-6377-536X"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jijun Tang","raw_affiliation_strings":["Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, P.R.China","School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","University of South Carolina, Columbia, SC, USA"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, P.R.China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702161","display_name":"Fei Guo","orcid":"https://orcid.org/0000-0001-8346-0798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Guo","raw_affiliation_strings":["School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047371218"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.67,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.72725735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"751","last_page":"756"},"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/T10862","display_name":"AI in cancer detection","score":0.9958000183105469,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.792123556137085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7407875657081604},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7043260335922241},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6482056379318237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6450923681259155},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.601750373840332},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5397106409072876},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5362166166305542},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5225881338119507},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4919157028198242},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4749099016189575},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.452401727437973},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41955065727233887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35609889030456543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26351648569107056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06618550419807434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792123556137085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7407875657081604},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7043260335922241},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6482056379318237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6450923681259155},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.601750373840332},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5397106409072876},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5362166166305542},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5225881338119507},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4919157028198242},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4749099016189575},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.452401727437973},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41955065727233887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35609889030456543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26351648569107056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06618550419807434},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2097117768","https://openalex.org/W2105923875","https://openalex.org/W2109255472","https://openalex.org/W2163605009","https://openalex.org/W2180648740","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2253429366","https://openalex.org/W2268118031","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2559090303","https://openalex.org/W2564782580","https://openalex.org/W2594652617","https://openalex.org/W2594893939","https://openalex.org/W2597394795","https://openalex.org/W2602631755","https://openalex.org/W2604384166","https://openalex.org/W2752782242","https://openalex.org/W2885874495","https://openalex.org/W2888442043","https://openalex.org/W2890741060","https://openalex.org/W2963037989","https://openalex.org/W2963046541","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963946669","https://openalex.org/W2964350391","https://openalex.org/W3106250896","https://openalex.org/W4212774754","https://openalex.org/W4300001742","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6693768309","https://openalex.org/W6734614811","https://openalex.org/W6734752668","https://openalex.org/W6735381419","https://openalex.org/W6735782011","https://openalex.org/W6755875945"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653"],"abstract_inverted_index":{"Auotmatic":[0],"melanoma":[1],"classification":[2,115],"in":[3,28,145],"dermoscopy":[4],"images":[5],"is":[6,33,57],"a":[7,35,50,105],"very":[8],"important":[9],"task,":[10],"which":[11,56],"can":[12,134],"help":[13],"improve":[14],"diagnostic":[15],"accuracy":[16],"and":[17,43,71,91,124,157],"reduce":[18],"mortality.":[19],"Deep":[20],"convolutional":[21],"neural":[22,52,107],"network":[23,53,67,108],"(DCNN)":[24],"has":[25,164],"developed":[26],"rapidly":[27],"recent":[29],"years,":[30],"but":[31],"it":[32],"still":[34],"challenging":[36],"task":[37],"due":[38],"to":[39,68,75,85,98,112],"the":[40,73,93,114,126,140,158,169],"intra-class":[41],"variation":[42],"inter-class":[44],"similarity":[45],"of":[46,59,88,119,122,128,142],"melanoma.":[47],"We":[48,148],"proposed":[49],"novel":[51],"integration":[54],"model,":[55],"composed":[58],"three":[60],"parts:":[61],"First,":[62],"we":[63,80,103],"use":[64,72,81],"U-net":[65],"segmentation":[66],"generate":[69],"masks":[70,74],"crop":[76],"original":[77],"images;":[78],"Second,":[79],"five":[82],"state-of-the-art":[83],"DCNNs":[84],"extract":[86,117],"features":[87,118],"cropped":[89],"images,":[90],"add":[92],"squeeze-excitation":[94],"block":[95],"(SE":[96],"block)":[97],"emphasize":[99],"useful":[100],"features;":[101],"Finally,":[102],"construct":[104],"new":[106],"with":[109,168],"local":[110],"connection":[111,133],"integrate":[113,125,135],"results,":[116,123],"different":[120,143],"class":[121,130,137],"results":[127],"each":[129,136],"separately.":[131],"Local":[132],"separately,":[138],"maximizing":[139],"advantages":[141],"networks":[144],"various":[146],"classes.":[147],"evaluate":[149],"our":[150,162],"model":[151],"on":[152],"ISIC":[153],"2017":[154],"challenge":[155],"dataset,":[156],"result":[159],"shows":[160],"that":[161],"method":[163],"better":[165],"performance":[166],"compared":[167],"existing":[170],"methods.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-14T06:02:45.956762","created_date":"2025-10-10T00:00:00"}
