{"id":"https://openalex.org/W2910297960","doi":"https://doi.org/10.1109/ghtc.2018.8601558","title":"Deep Learning Based Image Classification for Remote Medical Diagnosis","display_name":"Deep Learning Based Image Classification for Remote Medical Diagnosis","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910297960","doi":"https://doi.org/10.1109/ghtc.2018.8601558","mag":"2910297960"},"language":"en","primary_location":{"id":"doi:10.1109/ghtc.2018.8601558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ghtc.2018.8601558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Humanitarian Technology Conference (GHTC)","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/A5072363600","display_name":"Juliana Shihadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Juliana Shihadeh","raw_affiliation_strings":["Department of Electrical Engineering, Santa Clara University, Santa Clara, California"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Santa Clara University, Santa Clara, California","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045660343","display_name":"Anaam Ansari","orcid":"https://orcid.org/0000-0002-4081-1225"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anaam Ansari","raw_affiliation_strings":["Department of Electrical Engineering, Santa Clara University, Santa Clara, California"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Santa Clara University, Santa Clara, California","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113858747","display_name":"Tokunbo Ozunfunmi","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tokunbo Ozunfunmi","raw_affiliation_strings":["Department of Electrical Engineering, Santa Clara University, Santa Clara, California"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Santa Clara University, Santa Clara, California","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072363600"],"corresponding_institution_ids":["https://openalex.org/I16269868"],"apc_list":null,"apc_paid":null,"fwci":1.0339,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80790858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"542","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":0.9977999925613403,"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":0.9977999925613403,"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":0.9909999966621399,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9891999959945679,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.859506368637085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7259109020233154},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.62002032995224},{"id":"https://openalex.org/keywords/vital-signs","display_name":"Vital signs","score":0.5277182459831238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5250254273414612},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5094192624092102},{"id":"https://openalex.org/keywords/oxygen-saturation","display_name":"Oxygen saturation","score":0.5012619495391846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37557855248451233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.359799861907959},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16209939122200012},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11162719130516052}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.859506368637085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259109020233154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.62002032995224},{"id":"https://openalex.org/C2776890885","wikidata":"https://www.wikidata.org/wiki/Q1067560","display_name":"Vital signs","level":2,"score":0.5277182459831238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5250254273414612},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5094192624092102},{"id":"https://openalex.org/C76538665","wikidata":"https://www.wikidata.org/wiki/Q6294669","display_name":"Oxygen saturation","level":3,"score":0.5012619495391846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37557855248451233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.359799861907959},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16209939122200012},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11162719130516052},{"id":"https://openalex.org/C540031477","wikidata":"https://www.wikidata.org/wiki/Q629","display_name":"Oxygen","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ghtc.2018.8601558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ghtc.2018.8601558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Humanitarian Technology Conference (GHTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308771","display_name":"Henry Luce Foundation","ror":"https://ror.org/0125jx070"},{"id":"https://openalex.org/F4320311294","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2313330069","https://openalex.org/W2323929895","https://openalex.org/W2345010043","https://openalex.org/W2474421929","https://openalex.org/W2557283755","https://openalex.org/W2581082771","https://openalex.org/W2730050932","https://openalex.org/W2732754304","https://openalex.org/W4298869022","https://openalex.org/W6684191040","https://openalex.org/W6740916080","https://openalex.org/W6760385162"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W2407056110","https://openalex.org/W2052163883"],"abstract_inverted_index":{"In":[0],"this":[1,100,136],"paper,":[2],"we":[3,132],"describe":[4],"research":[5,17,51],"on":[6,19,34,54,105,122],"Convolutional":[7,55],"Neural":[8,56],"Networks":[9],"to":[10,13,32,35,65,69,72,80,118,134,163],"advance":[11],"access":[12],"medical":[14,42,192],"diagnosis.":[15,193],"Our":[16],"focuses":[18],"classifying":[20],"skin":[21],"cancer":[22],"images":[23],"as":[24,28,170],"Benign":[25],"or":[26],"Malignant":[27],"a":[29,84,139,151,165,187],"starting":[30],"base":[31],"build":[33],"develop":[36],"an":[37],"app":[38],"that":[39,159],"allows":[40],"easily-accessible":[41],"diagnosis":[43],"in":[44,78,99],"underdeveloped":[45],"countries.":[46],"The":[47,147],"methodology":[48],"of":[49],"our":[50,67,94],"is":[52],"based":[53],"Networks:":[57],"AlexNet":[58],"[3]":[59],"and":[60,96,153,178],"GoogleNet":[61],"[4].":[62],"We":[63],"hope":[64],"expand":[66],"work":[68],"be":[70,150,161],"able":[71],"classify":[73],"additional":[74],"physically":[75,89],"visible":[76,90],"diseases":[77,91],"addition":[79],"Skin":[81],"Cancer,":[82],"since":[83],"camera":[85],"only":[86],"captures":[87],"exterior":[88],"[5].":[92],"All":[93],"training":[95],"testing":[97],"presented":[98],"paper":[101],"has":[102],"been":[103],"run":[104],"the":[106,130,183],"NVIDIA":[107],"Jetson":[108],"TX2":[109],"GPU.":[110],"Results":[111],"are":[112,127],"promising,":[113],"showing":[114],"accuracy":[115],"rates":[116],"up":[117],"74":[119],"percent":[120],"depending":[121],"how":[123],"neural":[124],"network":[125],"parameters":[126],"changed.":[128],"Down":[129],"road,":[131],"intend":[133],"incorporate":[135],"technology":[137],"with":[138,157],"previously":[140],"developed":[141],"Vital":[142],"Signs":[143],"Multi-sensor":[144],"kit":[145,148],"[1].":[146],"will":[149,185],"compact":[152],"affordable":[154],"device":[155],"equipped":[156],"sensors":[158],"can":[160],"used":[162],"take":[164],"patients":[166],"vital":[167],"signs,":[168],"such":[169],"blood":[171,175,179],"pressure,":[172],"heart":[173],"rate,":[174],"glucose":[176],"concentration,":[177],"oxygen":[180],"saturation.":[181],"Combined,":[182],"tools":[184],"provide":[186],"complete":[188],"system":[189],"for":[190],"remote":[191]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}