{"id":"https://openalex.org/W4313646572","doi":"https://doi.org/10.3390/s23020656","title":"MobileNet-SVM: A Lightweight Deep Transfer Learning Model to Diagnose BCH Scans for IoMT-Based Imaging Sensors","display_name":"MobileNet-SVM: A Lightweight Deep Transfer Learning Model to Diagnose BCH Scans for IoMT-Based Imaging Sensors","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4313646572","doi":"https://doi.org/10.3390/s23020656","pmid":"https://pubmed.ncbi.nlm.nih.gov/36679455"},"language":"en","primary_location":{"id":"doi:10.3390/s23020656","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23020656","pdf_url":"https://www.mdpi.com/1424-8220/23/2/656/pdf?version=1672995017","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/2/656/pdf?version=1672995017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071054943","display_name":"Roseline Oluwaseun Ogundokun","orcid":"https://orcid.org/0000-0002-2592-2824"},"institutions":[{"id":"https://openalex.org/I172574986","display_name":"Kaunas University of Technology","ror":"https://ror.org/01me6gb93","country_code":"LT","type":"education","lineage":["https://openalex.org/I172574986"]},{"id":"https://openalex.org/I304664074","display_name":"Landmark University","ror":"https://ror.org/04gw4zv66","country_code":"NG","type":"education","lineage":["https://openalex.org/I304664074"]}],"countries":["LT","NG"],"is_corresponding":false,"raw_author_name":"Roseline Oluwaseun Ogundokun","raw_affiliation_strings":["Department of Computer Science, Landmark University, Omu Aran 251103, Kwara, Nigeria","Department of Multimedia Engineering, Kaunas University of Technology, 44249 Kaunas, Lithuania"],"raw_orcid":"https://orcid.org/0000-0002-2592-2824","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Landmark University, Omu Aran 251103, Kwara, Nigeria","institution_ids":["https://openalex.org/I304664074"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Kaunas University of Technology, 44249 Kaunas, Lithuania","institution_ids":["https://openalex.org/I172574986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064136287","display_name":"Sanjay Misra","orcid":"https://orcid.org/0000-0002-3556-9331"},"institutions":[{"id":"https://openalex.org/I19923696","display_name":"\u00d8stfold University College","ror":"https://ror.org/04gf7fp41","country_code":"NO","type":"education","lineage":["https://openalex.org/I19923696"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Sanjay Misra","raw_affiliation_strings":["Department of Computer Science and Communication, \u00d8stfold University College, 1757 Halden, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communication, \u00d8stfold University College, 1757 Halden, Norway","institution_ids":["https://openalex.org/I19923696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015778689","display_name":"Akinyemi Omololu Akinrotimi","orcid":"https://orcid.org/0000-0002-0907-9769"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akinyemi Omololu Akinrotimi","raw_affiliation_strings":["Department of Mathematical Sciences, Augustine University Ilara-Epe, Lagos 106103, Lagos, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Augustine University Ilara-Epe, Lagos 106103, Lagos, Nigeria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086873572","display_name":"Hasan O\u011ful","orcid":"https://orcid.org/0000-0002-6043-1860"},"institutions":[{"id":"https://openalex.org/I19923696","display_name":"\u00d8stfold University College","ror":"https://ror.org/04gf7fp41","country_code":"NO","type":"education","lineage":["https://openalex.org/I19923696"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Hasan Ogul","raw_affiliation_strings":["Department of Computer Science and Communication, \u00d8stfold University College, 1757 Halden, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communication, \u00d8stfold University College, 1757 Halden, Norway","institution_ids":["https://openalex.org/I19923696"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064136287"],"corresponding_institution_ids":["https://openalex.org/I19923696"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":10.2718,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98693457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"23","issue":"2","first_page":"656","last_page":"656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998000264167786,"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":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9983999729156494,"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/bch-code","display_name":"BCH code","score":0.8902921676635742},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7579253911972046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298893928527832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.634124755859375},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6132980585098267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5245357155799866},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4671195447444916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3975169360637665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15739089250564575},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14193949103355408}],"concepts":[{"id":"https://openalex.org/C42276685","wikidata":"https://www.wikidata.org/wiki/Q795705","display_name":"BCH code","level":3,"score":0.8902921676635742},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7579253911972046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298893928527832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.634124755859375},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6132980585098267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5245357155799866},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4671195447444916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3975169360637665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15739089250564575},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14193949103355408}],"mesh":[{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23020656","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23020656","pdf_url":"https://www.mdpi.com/1424-8220/23/2/656/pdf?version=1672995017","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36679455","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36679455","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9863875","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9863875","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9863875/pdf/sensors-23-00656.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:ktu.edu:elaba:153501924","is_oa":true,"landing_page_url":"https://vb.ktu.edu/KTU:ELABAPDB153501924&prefLang=en_US","pdf_url":null,"source":{"id":"https://openalex.org/S4406922255","display_name":"KTUePubl (Repository of Kaunas University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN 1424-8220","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:3ba80ccfa69a4cfebc6a72566e8fec2f","is_oa":true,"landing_page_url":"https://doaj.org/article/3ba80ccfa69a4cfebc6a72566e8fec2f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 2, p 656 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/2/656/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23020656","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 2; Pages: 656","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23020656","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23020656","pdf_url":"https://www.mdpi.com/1424-8220/23/2/656/pdf?version=1672995017","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313646572.pdf"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1511559872","https://openalex.org/W1914971724","https://openalex.org/W1968634208","https://openalex.org/W2011430131","https://openalex.org/W2063322980","https://openalex.org/W2097117768","https://openalex.org/W2107411682","https://openalex.org/W2122197597","https://openalex.org/W2124386111","https://openalex.org/W2148309496","https://openalex.org/W2151608510","https://openalex.org/W2163352848","https://openalex.org/W2194775991","https://openalex.org/W2344480160","https://openalex.org/W2370924594","https://openalex.org/W2549267210","https://openalex.org/W2554892747","https://openalex.org/W2560322684","https://openalex.org/W2587148149","https://openalex.org/W2609584387","https://openalex.org/W2618530766","https://openalex.org/W2716665989","https://openalex.org/W2727347885","https://openalex.org/W2767410506","https://openalex.org/W2772030296","https://openalex.org/W2788072220","https://openalex.org/W2801370692","https://openalex.org/W2889646458","https://openalex.org/W2894084084","https://openalex.org/W2897647229","https://openalex.org/W2903119292","https://openalex.org/W2914836117","https://openalex.org/W2919115771","https://openalex.org/W2955042357","https://openalex.org/W2964030969","https://openalex.org/W2983126243","https://openalex.org/W2991564522","https://openalex.org/W3000252705","https://openalex.org/W3010871530","https://openalex.org/W3011012878","https://openalex.org/W3085214060","https://openalex.org/W3087788233","https://openalex.org/W3124608938","https://openalex.org/W3129848661","https://openalex.org/W3158053885","https://openalex.org/W3158340475","https://openalex.org/W3163615921","https://openalex.org/W3191703705","https://openalex.org/W3197743383","https://openalex.org/W4206961833","https://openalex.org/W4282982312","https://openalex.org/W4283526075","https://openalex.org/W4283786398","https://openalex.org/W4296083357","https://openalex.org/W4296432997","https://openalex.org/W4306180875","https://openalex.org/W4306784173","https://openalex.org/W6790205613"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W4380075502","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Many":[0],"individuals":[1],"worldwide":[2],"pass":[3],"away":[4],"as":[5,36],"a":[6,69,102,131,152,166,174,202,215,263,277],"result":[7],"of":[8,32,45,48,109,122,130,134,146,169,183,205,218,229,234,266],"inadequate":[9],"procedures":[10],"for":[11,56,138,160,190,255],"prompt":[12],"illness":[13],"identification":[14,31],"and":[15,39,67,80,95,136,164,185,231,281],"subsequent":[16],"treatment.":[17],"A":[18],"valuable":[19],"life":[20],"can":[21,98,113],"be":[22,92,99,114],"saved":[23],"or":[24],"at":[25],"least":[26],"extended":[27],"with":[28],"the":[29,46,61,107,120,181,211,221,237,246,270,273],"early":[30],"serious":[33],"illnesses,":[34],"such":[35],"various":[37],"cancers":[38],"other":[40],"life-threatening":[41],"conditions.":[42],"The":[43,144,250],"development":[44],"Internet":[47],"Medical":[49],"Things":[50],"(IoMT)":[51],"has":[52,165],"made":[53],"it":[54],"possible":[55],"healthcare":[57],"technology":[58],"to":[59,72,78,101,116,150,261,269],"offer":[60],"general":[62],"public":[63],"efficient":[64],"medical":[65],"services":[66],"make":[68],"significant":[70],"contribution":[71],"patients'":[73],"recoveries.":[74],"By":[75],"using":[76],"IoMT":[77,256],"diagnose":[79],"examine":[81],"BreakHis":[82,192,206],"v1":[83,193,207],"400\u00d7":[84,194,208],"breast":[85],"cancer":[86],"histology":[87],"(BCH)":[88],"scans,":[89],"disorders":[90],"may":[91],"quickly":[93],"identified":[94],"appropriate":[96],"treatment":[97],"given":[100],"patient.":[103],"Imaging":[104],"equipment":[105,258],"having":[106,262],"capability":[108],"auto-analyzing":[110],"acquired":[111],"pictures":[112],"used":[115],"achieve":[117],"this.":[118],"However,":[119],"majority":[121],"deep":[123,154],"learning":[124,156],"(DL)-based":[125],"image":[126],"classification":[127],"approaches":[128],"are":[129,248],"large":[132],"number":[133],"parameters":[135],"unsuitable":[137],"application":[139],"in":[140,259],"IoMT-centered":[141],"imaging":[142,257],"sensors.":[143],"goal":[145],"this":[147,172],"study":[148],"is":[149,180,197,253],"create":[151],"lightweight":[153,175],"transfer":[155],"(DTL)":[157],"model":[158,177,252,275],"suited":[159],"BCH":[161,195,209,243],"scan":[162],"examination":[163],"good":[167],"level":[168],"accuracy.":[170],"In":[171],"study,":[173],"DTL-based":[176],"\"MobileNet-SVM\",":[178],"which":[179],"hybridization":[182],"MobileNet":[184],"Support":[186],"Vector":[187],"Machine":[188],"(SVM),":[189],"auto-classifying":[191],"images":[196],"presented.":[198],"When":[199],"tested":[200],"against":[201],"real":[203],"dataset":[204],"images,":[210],"suggested":[212,274],"technique":[213],"achieved":[214],"training":[216,222],"accuracy":[217,228],"100%":[219],"on":[220,236],"dataset.":[223,239],"It":[224],"also":[225],"obtained":[226],"an":[227,232],"91%":[230],"F1-score":[233],"91.35":[235],"test":[238],"Considering":[240],"how":[241],"complicated":[242],"scans":[244],"are,":[245],"findings":[247],"encouraging.":[249],"MobileNet-SVM":[251],"ideal":[254],"addition":[260],"high":[264],"degree":[265],"precision.":[267],"According":[268],"simulation":[271],"findings,":[272],"requires":[276],"small":[278],"computation":[279],"speed":[280],"time.":[282]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":13}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}