{"id":"https://openalex.org/W3008323845","doi":"https://doi.org/10.1109/isspit47144.2019.9001790","title":"Depthwise Separable Convolutional Neural Network for Skin Lesion Classification","display_name":"Depthwise Separable Convolutional Neural Network for Skin Lesion Classification","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008323845","doi":"https://doi.org/10.1109/isspit47144.2019.9001790","mag":"3008323845"},"language":"en","primary_location":{"id":"doi:10.1109/isspit47144.2019.9001790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit47144.2019.9001790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5037435843","display_name":"Sara Hosseinzadeh Kassani","orcid":"https://orcid.org/0000-0002-5776-7929"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sara Hosseinzadeh Kassani","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051422395","display_name":"Peyman Hosseinzadeh Kassani","orcid":"https://orcid.org/0000-0001-7736-3959"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peyman Hosseinzadeh Kassani","raw_affiliation_strings":["Department of Biomedical Engineering, University of Tulane, New Orleans, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Tulane, New Orleans, USA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088256462","display_name":"Michal J. Wesolowski","orcid":null},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michal J. Wesolowski","raw_affiliation_strings":["Department of Medical Imaging, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089178328","display_name":"Kevin A. Schneider","orcid":"https://orcid.org/0000-0003-1113-1754"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kevin A. Schneider","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046273010","display_name":"Ralph Deters","orcid":"https://orcid.org/0000-0001-6703-5839"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ralph Deters","raw_affiliation_strings":["Department of Computer Science, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037435843"],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":0.7051,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.74061133,"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":"1","last_page":"6"},"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":0.9962999820709229,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9452000260353088,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/computer-science","display_name":"Computer science","score":0.7552788257598877},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7550517320632935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6786978244781494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5812432169914246},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.544690728187561},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5094240307807922},{"id":"https://openalex.org/keywords/skin-lesion","display_name":"Skin lesion","score":0.4391433596611023},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43892377614974976},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.430351197719574},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42759254574775696},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4248321056365967},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.42416203022003174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35137560963630676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1929866075515747},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.09663954377174377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08634933829307556},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06780382990837097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552788257598877},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7550517320632935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6786978244781494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5812432169914246},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.544690728187561},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5094240307807922},{"id":"https://openalex.org/C2988168687","wikidata":"https://www.wikidata.org/wiki/Q949302","display_name":"Skin lesion","level":2,"score":0.4391433596611023},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43892377614974976},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.430351197719574},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42759254574775696},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4248321056365967},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.42416203022003174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35137560963630676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1929866075515747},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.09663954377174377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08634933829307556},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06780382990837097},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit47144.2019.9001790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit47144.2019.9001790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2095705004","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2549139847","https://openalex.org/W2612445135","https://openalex.org/W2743635406","https://openalex.org/W2747685395","https://openalex.org/W2752782242","https://openalex.org/W2803575519","https://openalex.org/W2811092297","https://openalex.org/W2884112958","https://openalex.org/W2886385994","https://openalex.org/W2886537398","https://openalex.org/W2886694606","https://openalex.org/W2890002637","https://openalex.org/W2899425762","https://openalex.org/W2910567234","https://openalex.org/W2915849742","https://openalex.org/W2928133111","https://openalex.org/W2928668369","https://openalex.org/W2940790545","https://openalex.org/W2944552054","https://openalex.org/W2950072366","https://openalex.org/W2950839012","https://openalex.org/W2954913281","https://openalex.org/W2963031676","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2964081807","https://openalex.org/W2964350391","https://openalex.org/W2973839374","https://openalex.org/W2974974394","https://openalex.org/W2976379515","https://openalex.org/W2997214020","https://openalex.org/W2998367643","https://openalex.org/W2998508940","https://openalex.org/W3021089087","https://openalex.org/W4289693835","https://openalex.org/W4297775537","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6694260854","https://openalex.org/W6768449137"],"related_works":["https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W3185137224","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3194017912","https://openalex.org/W3040904734","https://openalex.org/W3167930666"],"abstract_inverted_index":{"Melanoma":[0],"is":[1,49],"one":[2],"of":[3,23,85],"the":[4,20,53,83,86,90,98,105,110],"deadliest":[5],"skin":[6,24],"cancers.":[7],"Early":[8],"diagnosis":[9],"plays":[10],"an":[11],"essential":[12],"role":[13],"in":[14,109],"effective":[15],"treatment":[16],"planning":[17],"and":[18,66,116,126],"reducing":[19],"mortality":[21],"rate":[22],"cancer.":[25],"In":[26],"this":[27],"study,":[28],"we":[29],"propose":[30],"a":[31,38,72],"compact":[32,115],"deep":[33],"learning-based":[34],"classification":[35],"model":[36],"with":[37],"separable":[39],"convolutional":[40],"neural":[41],"network":[42],"for":[43,55,76],"melanoma":[44],"detection.":[45],"The":[46,118],"proposed":[47,87,99,119],"architecture":[48,100],"aimed":[50],"to":[51,70,104],"minimize":[52],"need":[54],"task-specific":[56],"data":[57],"pre-processing":[58],"methods":[59],"such":[60],"as":[61],"noise":[62],"reduction,":[63],"artifact":[64],"removal,":[65],"low":[67],"contrast":[68],"adjustment":[69],"support":[71],"better":[73],"generalization":[74],"ability":[75],"unseen":[77],"/":[78],"test":[79],"data.":[80],"We":[81],"validated":[82],"performance":[84],"method":[88],"on":[89],"ISIC":[91],"2018":[92],"dataset.":[93],"Our":[94],"results":[95],"show":[96],"that":[97],"achieves":[101,121],"comparable":[102],"accuracy":[103],"widely-used":[106],"architectures":[107],"presented":[108],"literature":[111],"while":[112],"being":[113],"more":[114],"simpler.":[117],"methodology":[120],"87.24%":[122],"accuracy,":[123],"95.94%":[124],"sensitivity":[125],"98.47%":[127],"specificity.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}