{"id":"https://openalex.org/W2604900316","doi":"https://doi.org/10.1145/3033288.3033350","title":"The Real Time Endoscopic Image Analysis Algorithm","display_name":"The Real Time Endoscopic Image Analysis Algorithm","publication_year":2016,"publication_date":"2016-12-17","ids":{"openalex":"https://openalex.org/W2604900316","doi":"https://doi.org/10.1145/3033288.3033350","mag":"2604900316"},"language":"en","primary_location":{"id":"doi:10.1145/3033288.3033350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3033288.3033350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Network, Communication and Computing","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/A5055503310","display_name":"Kadushnikov Radi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kadushnikov Radi","raw_affiliation_strings":["SIAMS Ltd, Ekaterinburg, Russia"],"affiliations":[{"raw_affiliation_string":"SIAMS Ltd, Ekaterinburg, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010618631","display_name":"Studenok Sergey","orcid":null},"institutions":[{"id":"https://openalex.org/I130823665","display_name":"Ural Federal University","ror":"https://ror.org/00hs7dr46","country_code":"RU","type":"education","lineage":["https://openalex.org/I130823665"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Studenok Sergey","raw_affiliation_strings":["Ural Federal University, Ekaterinburg, Russia"],"affiliations":[{"raw_affiliation_string":"Ural Federal University, Ekaterinburg, Russia","institution_ids":["https://openalex.org/I130823665"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047278045","display_name":"Mizgulin Vyacheslav","orcid":null},"institutions":[{"id":"https://openalex.org/I130823665","display_name":"Ural Federal University","ror":"https://ror.org/00hs7dr46","country_code":"RU","type":"education","lineage":["https://openalex.org/I130823665"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Mizgulin Vyacheslav","raw_affiliation_strings":["Ural Federal University, Ekaterinburg, Russia"],"affiliations":[{"raw_affiliation_string":"Ural Federal University, Ekaterinburg, Russia","institution_ids":["https://openalex.org/I130823665"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055503310"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19933878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9904000163078308,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9904000163078308,"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":0.9771000146865845,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9416000247001648,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7442266941070557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.679633617401123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4954949617385864},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4935110807418823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49273279309272766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48667460680007935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4852316379547119},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46629756689071655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4236014485359192},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4108947813510895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11370950937271118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442266941070557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.679633617401123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4954949617385864},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4935110807418823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49273279309272766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48667460680007935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4852316379547119},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46629756689071655},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4236014485359192},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4108947813510895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11370950937271118},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3033288.3033350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3033288.3033350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Network, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1488172216","https://openalex.org/W1578083272","https://openalex.org/W1606352581","https://openalex.org/W1977330384","https://openalex.org/W1991547973","https://openalex.org/W2093387530","https://openalex.org/W2145022807","https://openalex.org/W2151103935","https://openalex.org/W2162498245","https://openalex.org/W2165324514","https://openalex.org/W2604544003"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W2362198218","https://openalex.org/W1992327129","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2381986121","https://openalex.org/W2113077220"],"abstract_inverted_index":{"New":[0],"algorithm":[1,27,54],"for":[2,20,50],"the":[3],"real":[4,59],"time":[5,60],"processing":[6],"of":[7,35,40,44,68,78],"narrow--band":[8],"endoscopic":[9,22],"images":[10],"with":[11],"a":[12],"highly":[13],"productive":[14],"distributed":[15],"intellectual":[16],"analytic":[17],"decision--making":[18],"system":[19],"multiscale":[21],"diagnostics":[23],"is":[24,55],"presented.":[25],"The":[26,76],"uses":[28],"scale--invariant":[29],"feature":[30],"transform":[31],"detector,":[32],"computing":[33],"skeletons":[34],"gastric":[36],"mucosa":[37],"pit-patterns,":[38],"\"Bag":[39],"visual":[41],"words\"":[42],"(\"Bag":[43],"features\")":[45],"method,":[46],"and":[47,62],"K--means":[48],"method":[49],"key":[51],"points.":[52],"Resulting":[53],"completely":[56],"automated,":[57],"performs":[58],"analysis,":[61],"does":[63],"not":[64],"require":[65],"preliminary":[66],"selection":[67],"interest":[69],"area.":[70],"Image":[71],"classification":[72,84],"accuracy":[73,85],"exceeds":[74],"78%.":[75],"use":[77],"neural":[79],"network":[80],"recognition":[81],"improves":[82],"image":[83],"up":[86],"to":[87],"93%.":[88]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}