{"id":"https://openalex.org/W3017325269","doi":"https://doi.org/10.1109/icaiic48513.2020.9065216","title":"Tooth Detection and Segmentation with Mask R-CNN","display_name":"Tooth Detection and Segmentation with Mask R-CNN","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3017325269","doi":"https://doi.org/10.1109/icaiic48513.2020.9065216","mag":"3017325269"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9065216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5049954118","display_name":"Guohua Zhu","orcid":"https://orcid.org/0000-0002-0492-3406"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Guohua Zhu","raw_affiliation_strings":["Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052696364","display_name":"Zewen Piao","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zewen Piao","raw_affiliation_strings":["Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041273969","display_name":"Suk Chan Kim","orcid":"https://orcid.org/0000-0002-5699-8565"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suk Chan Kim","raw_affiliation_strings":["Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049954118"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":2.8332,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.92232977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"070","last_page":"072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11363","display_name":"Dental Radiography and Imaging","score":0.9896000027656555,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9886999726295471,"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/segmentation","display_name":"Segmentation","score":0.8450914621353149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8293929696083069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7257536053657532},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6505346894264221},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5781600475311279},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5768406391143799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5548845529556274},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5363864302635193},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.48076149821281433},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44398367404937744}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8450914621353149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8293929696083069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257536053657532},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6505346894264221},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5781600475311279},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5768406391143799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5548845529556274},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5363864302635193},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.48076149821281433},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44398367404937744}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9065216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2047706429","https://openalex.org/W2102605133","https://openalex.org/W2395611524","https://openalex.org/W2782412726","https://openalex.org/W2796347433","https://openalex.org/W2799093543","https://openalex.org/W2912420051","https://openalex.org/W2964240917","https://openalex.org/W3106250896","https://openalex.org/W4293584584"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"expound":[4],"the":[5,58,64],"application":[6],"of":[7],"Mask":[8,16,42],"RCNN":[9,43],"on":[10],"automatic":[11],"tooth":[12,37],"detection":[13,26],"and":[14,27,35,52],"segmentation.":[15,29],"R-CNN":[17],"is":[18],"a":[19,46],"recently":[20],"proposed":[21],"surprising":[22],"algorithm":[23],"for":[24],"object":[25],"semantic":[28],"This":[30],"paper":[31],"aims":[32],"at":[33],"detecting":[34],"segmenting":[36],"only.":[38],"We":[39,56],"show":[40],"that":[41],"also":[44],"has":[45],"good":[47],"segmentation":[48],"effect":[49],"in":[50],"complex":[51],"crowded":[53],"teeth":[54],"structures.":[55],"use":[57],"pixel":[59],"accuracy":[60],"(PA)":[61],"to":[62],"evaluate":[63],"results.":[65]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}