{"id":"https://openalex.org/W2006828436","doi":"https://doi.org/10.1109/icics.2011.6174235","title":"Introduction of C/A (covariance/area) with applications to tooth segmentation in dental CT image","display_name":"Introduction of C/A (covariance/area) with applications to tooth segmentation in dental CT image","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2006828436","doi":"https://doi.org/10.1109/icics.2011.6174235","mag":"2006828436"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2011.6174235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6174235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications &amp; Signal Processing","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/A5003120011","display_name":"Yohei Kuroiwa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146782","display_name":"Ebina General Hospital","ror":"https://ror.org/04j3mpm77","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210146782"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yohei Kuroiwa","raw_affiliation_strings":["Ebina, Kanagawa, Japan","5-9, Hamadacho, Ebina, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Ebina, Kanagawa, Japan","institution_ids":[]},{"raw_affiliation_string":"5-9, Hamadacho, Ebina, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210146782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003120011"],"corresponding_institution_ids":["https://openalex.org/I4210146782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08156902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9926999807357788,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9926999807357788,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9764999747276306,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.9176371097564697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6379491090774536},{"id":"https://openalex.org/keywords/perimeter","display_name":"Perimeter","score":0.5854303240776062},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5811429023742676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5768229961395264},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5442720651626587},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5295256972312927},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5157433152198792},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49568378925323486},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.46708914637565613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.463521808385849},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4330917298793793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40394890308380127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3772415220737457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.282881498336792},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2225572168827057},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1079060435295105}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.9176371097564697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6379491090774536},{"id":"https://openalex.org/C98503990","wikidata":"https://www.wikidata.org/wiki/Q28474","display_name":"Perimeter","level":2,"score":0.5854303240776062},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5811429023742676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5768229961395264},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5442720651626587},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5295256972312927},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5157433152198792},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49568378925323486},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.46708914637565613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.463521808385849},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4330917298793793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40394890308380127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3772415220737457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.282881498336792},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2225572168827057},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1079060435295105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2011.6174235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6174235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications &amp; Signal Processing","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":3,"referenced_works":["https://openalex.org/W2054937228","https://openalex.org/W2100115174","https://openalex.org/W4212783130"],"related_works":["https://openalex.org/W4293234107","https://openalex.org/W2037406063","https://openalex.org/W2080632660","https://openalex.org/W3118348212","https://openalex.org/W4389263681","https://openalex.org/W4389263661","https://openalex.org/W2765591331","https://openalex.org/W4210544014","https://openalex.org/W2467656399","https://openalex.org/W4221083429"],"abstract_inverted_index":{"We":[0,45,62],"introduce":[1],"a":[2,71],"coordinate-dependent":[3],"characteristic":[4,33,48],"of":[5,18,26,29,49,57,60,68],"symmetry,":[6],"which":[7,52],"is":[8,13],"denoted":[9],"by":[10,15,22],"C/A.":[11],"C/A":[12,64],"defined":[14],"the":[16,19,23,27,30,35,39,42,47,55,58,66],"division":[17],"covariance":[20],"(C)":[21],"area":[24],"(A)":[25],"object":[28],"image.":[31,74],"The":[32],"has":[34],"good":[36],"properties":[37],"for":[38,51],"applications":[40],"to":[41,65],"image":[43],"processing.":[44],"compute":[46],"ellipse,":[50],"we":[53],"derive":[54],"formula":[56],"perimeter":[59],"ellipse.":[61],"apply":[63],"segmentation":[67],"tooth":[69],"in":[70],"dental":[72],"CT":[73]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
