{"id":"https://openalex.org/W2758062365","doi":"https://doi.org/10.1109/iscbi.2017.8053547","title":"Classification of dental diseases using CNN and transfer learning","display_name":"Classification of dental diseases using CNN and transfer learning","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2758062365","doi":"https://doi.org/10.1109/iscbi.2017.8053547","mag":"2758062365"},"language":"en","primary_location":{"id":"doi:10.1109/iscbi.2017.8053547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","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/A5036071140","display_name":"Shreyansh A. Prajapati","orcid":"https://orcid.org/0009-0003-5531-4154"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shreyansh A. Prajapati","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India"],"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017766807","display_name":"R. Nagaraj","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Nagaraj","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India"],"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085892724","display_name":"Suman K. Mitra","orcid":"https://orcid.org/0000-0002-1039-5566"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani Institute of Information and Communication Technology","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suman Mitra","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India"],"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036071140"],"corresponding_institution_ids":["https://openalex.org/I98389781"],"apc_list":null,"apc_paid":null,"fwci":10.6056,"has_fulltext":false,"cited_by_count":176,"citation_normalized_percentile":{"value":0.98806387,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.996999979019165,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.8177526593208313},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8013818860054016},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7684519290924072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7107404470443726},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5926477313041687},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5398954153060913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5336214900016785},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5056908130645752},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5029153227806091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4652486741542816},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4291382431983948},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3799803555011749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177526593208313},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8013818860054016},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7684519290924072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7107404470443726},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5926477313041687},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5398954153060913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5336214900016785},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5056908130645752},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5029153227806091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4652486741542816},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4291382431983948},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3799803555011749}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscbi.2017.8053547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","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":19,"referenced_works":["https://openalex.org/W948663339","https://openalex.org/W1686810756","https://openalex.org/W1910109443","https://openalex.org/W1984071930","https://openalex.org/W1988452762","https://openalex.org/W2095705004","https://openalex.org/W2163605009","https://openalex.org/W2175951243","https://openalex.org/W2293295816","https://openalex.org/W2310992461","https://openalex.org/W2323929895","https://openalex.org/W2339885376","https://openalex.org/W2343861259","https://openalex.org/W2510224130","https://openalex.org/W2592929672","https://openalex.org/W4249723987","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W2911497689","https://openalex.org/W2952813363","https://openalex.org/W2963346891"],"abstract_inverted_index":{"Automated":[0],"medical":[1,25],"assistance":[2],"system":[3],"is":[4,27,36,48,67,101,117,140,159],"in":[5,11,13,50,81,109],"high":[6,96],"demand":[7],"with":[8,95],"the":[9,14,87,125,144],"advances":[10],"research":[12],"machine":[15,82],"learning":[16,83,139],"area.":[17],"In":[18,119,136],"many":[19],"such":[20],"applications,":[21],"availability":[22],"of":[23,33,45,56,63,98,127,131,154],"labeled":[24,133],"dataset":[26,32,54,116],"a":[28,77],"primary":[29],"challenge":[30],"and":[31],"dental":[34,46,134],"diseases":[35,47],"not":[37],"an":[38],"exception.":[39],"An":[40],"attempt":[41],"towards":[42],"accurate":[43],"classification":[44,112],"addressed":[49],"this":[51,120],"paper.":[52],"Labeled":[53],"consisting":[55],"251":[57],"Radio":[58],"Visiography":[59],"(RVG)":[60],"x-ray":[61],"images":[62],"3":[64],"different":[65,152],"classes":[66],"used":[68,141],"for":[69,129,150],"classification.":[70],"Convolutional":[71],"neural":[72],"network":[73],"(CNN)":[74],"has":[75],"become":[76],"most":[78],"effective":[79],"tool":[80],"which":[84],"enables":[85],"solving":[86],"problems":[88,113],"like":[89],"image":[90,111],"recognition,":[91],"segmentation,":[92],"classification,":[93],"etc.,":[94],"order":[97],"accuracy.":[99,145],"It":[100],"found":[102],"from":[103],"literature":[104],"that":[105],"CNN":[106,128],"performs":[107],"well":[108],"natural":[110],"where":[114],"large":[115],"available.":[118],"paper":[121],"we":[122],"experimented":[123],"on":[124],"performance":[126],"diagnosis":[130],"small":[132],"dataset.":[135],"addition,":[137],"transfer":[138],"to":[142],"improve":[143],"Experimental":[146],"results":[147],"are":[148],"presented":[149],"three":[151],"architectures":[153],"CNN.":[155],"Overall":[156],"accuracy":[157],"achieved":[158],"very":[160],"encouraging.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":37},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":5}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}
