{"id":"https://openalex.org/W2978837569","doi":"https://doi.org/10.1109/ijcnn.2019.8851803","title":"Skin lesion segmentation using deep learning for images acquired from smartphones","display_name":"Skin lesion segmentation using deep learning for images acquired from smartphones","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978837569","doi":"https://doi.org/10.1109/ijcnn.2019.8851803","mag":"2978837569"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5076585870","display_name":"Gabriel G. de Angelo","orcid":null},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gabriel G. De Angelo","raw_affiliation_strings":["Federal University of Espirito Santo, Vitoria, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Espirito Santo, Vitoria, Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018377604","display_name":"Andr\u00e9 G. C. Pacheco","orcid":"https://orcid.org/0000-0003-0117-9308"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andre G. C. Pacheco","raw_affiliation_strings":["Graduate program in computer science, Federal University of Espirito Santo, Vitoria, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate program in computer science, Federal University of Espirito Santo, Vitoria, Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015026639","display_name":"Renato A. Krohling","orcid":"https://orcid.org/0000-0001-8861-4274"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renato A. Krohling","raw_affiliation_strings":["Graduate program in computer science, Production engineering department, Federal University of Espirito Santo, UFES, Vitoria, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate program in computer science, Production engineering department, Federal University of Espirito Santo, UFES, Vitoria, Brazil","institution_ids":["https://openalex.org/I51235708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076585870"],"corresponding_institution_ids":["https://openalex.org/I51235708"],"apc_list":null,"apc_paid":null,"fwci":0.9066,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.77161802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9797999858856201,"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":0.9765999913215637,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.711505651473999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113490104675293},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7065330147743225},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.5837885737419128},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5508067607879639},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5365723371505737},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.524752140045166},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5242907404899597},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4937833249568939},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.47840532660484314},{"id":"https://openalex.org/keywords/skin-cancer","display_name":"Skin cancer","score":0.44728559255599976},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.42777952551841736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3852421045303345},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2290157973766327},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.13812756538391113},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.13068422675132751},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.12753477692604065},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08637508749961853}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.711505651473999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113490104675293},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7065330147743225},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.5837885737419128},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5508067607879639},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5365723371505737},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.524752140045166},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5242907404899597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4937833249568939},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.47840532660484314},{"id":"https://openalex.org/C2777789703","wikidata":"https://www.wikidata.org/wiki/Q192102","display_name":"Skin cancer","level":3,"score":0.44728559255599976},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.42777952551841736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3852421045303345},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2290157973766327},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.13812756538391113},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.13068422675132751},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.12753477692604065},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08637508749961853},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W630119563","https://openalex.org/W1041723562","https://openalex.org/W1486242743","https://openalex.org/W1507875776","https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1998451602","https://openalex.org/W2036874319","https://openalex.org/W2053584684","https://openalex.org/W2057730497","https://openalex.org/W2083652081","https://openalex.org/W2096166399","https://openalex.org/W2124260943","https://openalex.org/W2129999749","https://openalex.org/W2133059825","https://openalex.org/W2139888281","https://openalex.org/W2161236525","https://openalex.org/W2304648132","https://openalex.org/W2460774276","https://openalex.org/W2540211946","https://openalex.org/W2734349601","https://openalex.org/W2755465803","https://openalex.org/W2784226479","https://openalex.org/W2803575519","https://openalex.org/W2890655382","https://openalex.org/W2952793010","https://openalex.org/W2963946669","https://openalex.org/W2964069766","https://openalex.org/W2964121744","https://openalex.org/W3105311500","https://openalex.org/W3199750392","https://openalex.org/W4206192903","https://openalex.org/W6620054316","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6697974390","https://openalex.org/W6929215198"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W2093471820","https://openalex.org/W4323355870","https://openalex.org/W3165493969","https://openalex.org/W3185137224","https://openalex.org/W4379260075","https://openalex.org/W4285104889","https://openalex.org/W4360585222","https://openalex.org/W4253592280","https://openalex.org/W4245346948"],"abstract_inverted_index":{"Skin":[0],"lesion":[1,106,162],"is":[2,16,35,48,54,85],"an":[3,101],"abnormal":[4],"growth":[5],"of":[6,57,79,97],"skin":[7,13,105,161],"cells":[8],"that":[9,67,151,166],"may":[10,68],"become":[11],"a":[12,17,49,55,64,76,86,95,113,122,141],"cancer,":[14],"which":[15],"major":[18],"health":[19],"issue":[20],"around":[21],"the":[22,31,39,136,145,149,160,169],"world":[23],"and":[24,59,111,130,148],"its":[25],"incidence":[26],"has":[27],"been":[28],"increasing":[29],"throughout":[30],"years.":[32],"Early":[33],"detection":[34],"critical":[36],"to":[37,70,103,134,154],"increase":[38],"survival":[40],"probability":[41],"and,":[42],"for":[43],"economically":[44],"emerging":[45],"countries,":[46],"it":[47],"real":[50],"problem,":[51],"since":[52],"there":[53],"lack":[56],"specialists":[58],"medical":[60],"tools.":[61],"Smartphones":[62],"are":[63],"low-cost":[65],"device":[66],"help":[69],"tackle":[71],"this":[72,83,90,118],"problem.":[73],"However,":[74],"acquiring":[75],"satisfactory":[77],"amount":[78],"images":[80,107,165],"taken":[81],"using":[82,108,124],"tool":[84],"hard":[87],"task.":[88],"In":[89,117],"sense,":[91],"in":[92],"partnership":[93],"with":[94],"group":[96],"dermatologists,":[98],"we":[99,120],"developed":[100],"application":[102],"collect":[104],"smartphones'":[109],"camera":[110],"create":[112],"new":[114],"clinical":[115],"dataset.":[116,138],"work,":[119],"present":[121,140],"methodology":[123],"deep":[125],"learning,":[126],"color":[127,146],"space":[128],"combination":[129],"conditional":[131],"random":[132],"fields":[133],"segment":[135],"created":[137],"We":[139],"carefully":[142],"investigation":[143],"regarding":[144],"spaces":[147],"post-processing":[150],"allow":[152],"us":[153],"raise":[155],"some":[156],"important":[157],"remarks":[158],"about":[159],"ground":[163],"truth":[164],"strongly":[167],"affect":[168],"final":[170],"segmentation.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}