{"id":"https://openalex.org/W2998538103","doi":"https://doi.org/10.1109/euvip47703.2019.8946208","title":"Seven-Point Checklist with Convolutional Neural Networks for Melanoma Diagnosis","display_name":"Seven-Point Checklist with Convolutional Neural Networks for Melanoma Diagnosis","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2998538103","doi":"https://doi.org/10.1109/euvip47703.2019.8946208","mag":"2998538103"},"language":"en","primary_location":{"id":"doi:10.1109/euvip47703.2019.8946208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip47703.2019.8946208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th European Workshop on Visual Information Processing (EUVIP)","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/A5101498345","display_name":"Saeed Alzahrani","orcid":"https://orcid.org/0000-0001-9003-1094"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Saeed Alzahrani","raw_affiliation_strings":["University of Liverpool, Liverpool, UK"],"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022032753","display_name":"Waleed Al\u2010Nuaimy","orcid":"https://orcid.org/0000-0001-8927-2368"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Waleed Al-Nuaimy","raw_affiliation_strings":["University of Liverpool, Liverpool, UK"],"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020201888","display_name":"Baidaa Al\u2010Bander","orcid":"https://orcid.org/0000-0002-2518-7364"},"institutions":[{"id":"https://openalex.org/I78277041","display_name":"University of Diyala","ror":"https://ror.org/01eb5yv70","country_code":"IQ","type":"education","lineage":["https://openalex.org/I78277041"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Baidaa Al-Bander","raw_affiliation_strings":["University of Diyala, Diyala, Iraq"],"affiliations":[{"raw_affiliation_string":"University of Diyala, Diyala, Iraq","institution_ids":["https://openalex.org/I78277041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101498345"],"corresponding_institution_ids":["https://openalex.org/I146655781"],"apc_list":null,"apc_paid":null,"fwci":1.0073,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79089058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"216"},"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":0.9722999930381775,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8060885667800903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7057963013648987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6805830001831055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6515599489212036},{"id":"https://openalex.org/keywords/melanoma-diagnosis","display_name":"Melanoma diagnosis","score":0.6433715224266052},{"id":"https://openalex.org/keywords/checklist","display_name":"Checklist","score":0.57066410779953},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5553327798843384},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5009744167327881},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4814859628677368},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47314679622650146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46910199522972107},{"id":"https://openalex.org/keywords/melanoma","display_name":"Melanoma","score":0.46882885694503784},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.4685652554035187},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41945451498031616},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29430291056632996},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21340340375900269},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17026948928833008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15740075707435608}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8060885667800903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7057963013648987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805830001831055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6515599489212036},{"id":"https://openalex.org/C2991914496","wikidata":"https://www.wikidata.org/wiki/Q180614","display_name":"Melanoma diagnosis","level":3,"score":0.6433715224266052},{"id":"https://openalex.org/C2779356329","wikidata":"https://www.wikidata.org/wiki/Q922625","display_name":"Checklist","level":2,"score":0.57066410779953},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5553327798843384},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5009744167327881},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4814859628677368},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47314679622650146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46910199522972107},{"id":"https://openalex.org/C2777658100","wikidata":"https://www.wikidata.org/wiki/Q180614","display_name":"Melanoma","level":2,"score":0.46882885694503784},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.4685652554035187},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41945451498031616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29430291056632996},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21340340375900269},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17026948928833008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15740075707435608},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip47703.2019.8946208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip47703.2019.8946208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W146528819","https://openalex.org/W1529623688","https://openalex.org/W1968221752","https://openalex.org/W1973570002","https://openalex.org/W1980621031","https://openalex.org/W2003834444","https://openalex.org/W2016173422","https://openalex.org/W2036573870","https://openalex.org/W2047813750","https://openalex.org/W2096457735","https://openalex.org/W2126301712","https://openalex.org/W2180648740","https://openalex.org/W2231156824","https://openalex.org/W2278630443","https://openalex.org/W2426942631","https://openalex.org/W2564782580","https://openalex.org/W2581082771","https://openalex.org/W2786147899","https://openalex.org/W2788686457","https://openalex.org/W2797527544","https://openalex.org/W2806853752","https://openalex.org/W2963059730"],"related_works":["https://openalex.org/W2413693463","https://openalex.org/W2053547586","https://openalex.org/W1991781940","https://openalex.org/W2049962666","https://openalex.org/W2466590777","https://openalex.org/W39350693","https://openalex.org/W2414119195","https://openalex.org/W2114750174","https://openalex.org/W2042339422","https://openalex.org/W4243351871"],"abstract_inverted_index":{"Reliable":[0],"skin":[1,12,30,39],"lesion":[2,40,84,154,220],"detection":[3,36,221],"is":[4,51,136,196],"an":[5,46],"important":[6],"pre-requisite":[7],"for":[8,79,138,150,162,219],"melanoma":[9,16,43,80,224],"and":[10,34,41,56,110,114,152,216,222],"other":[11],"diseases":[13],"diagnosis.":[14],"Existing":[15],"assessment":[17,62],"models":[18,147],"consider":[19],"either":[20],"pattern":[21,68],"analysis":[22,69],"methods":[23],"or":[24,186,189],"seven-point":[25,73],"checklist":[26,74],"criteria":[27,172],"to":[28,122,180],"investigate":[29],"lesion.":[31],"However,":[32],"automatic":[33],"accurate":[35],"of":[37,91,103,159,192,201],"the":[38,60,83,96,100,123,160,183,193,210],"subsequently":[42],"diagnosis":[44,81,225],"remain":[45],"unresolved":[47],"challenge.":[48],"Furthermore,":[49],"there":[50],"limitations":[52],"in":[53],"both":[54,146],"approaches":[55],"a":[57,67,131,177,199,214],"trade-off":[58],"between":[59],"two":[61],"strategies.":[63],"This":[64],"paper":[65],"proposes":[66],"method":[70],"incorporated":[71],"with":[72],"exploiting":[75],"convolutional":[76,126],"neural":[77,127],"network":[78],"where":[82,130],"features":[85,92,143],"are":[86,148,166,173],"extracted":[87],"automatically.":[88],"The":[89,142,157,205],"benefit":[90],"learned":[93],"automatically":[94],"from":[95,145,209,226],"dermoscopic":[97,115,203],"images":[98,116],"through":[99],"stacked":[101],"layers":[102],"convolution":[104],"filters":[105],"have":[106,117],"been":[107,118],"designed,":[108],"realised":[109],"evaluated.":[111],"Both":[112],"clinical":[113],"considered":[119],"as":[120],"input":[121],"developed":[124,194],"multiple-input":[125],"networks":[128],"(CNNs)":[129],"separate":[132],"feature":[133],"extraction":[134],"model":[135,179],"implemented":[137],"each":[139],"image":[140,184],"type.":[141],"produced":[144],"concatenated":[149],"interpretation":[151],"final":[153],"type":[155],"prediction.":[156],"sum":[158],"weight":[161],"predicated":[163],"lesions":[164],"which":[165],"calculated":[167],"according":[168],"seven-points":[169],"check":[170],"list":[171],"then":[174],"passed":[175],"into":[176],"threshold":[178],"decide":[181],"whether":[182],"normal":[185],"abnormal":[187],"(melanoma":[188],"non-melanoma).":[190],"Performance":[191],"algorithm":[195],"assessed":[197],"using":[198],"dataset":[200],"2000":[202],"images.":[204,228],"initial":[206],"results":[207],"obtained":[208],"proposed":[211],"system":[212],"show":[213],"convincing":[215],"promising":[217],"ability":[218],"automated":[223],"dermoscopy":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}