{"id":"https://openalex.org/W3030173179","doi":"https://doi.org/10.1145/3383972.3384045","title":"Ultrasound Pupil Image Segmentation Based on Edge Detection and Detection Operators","display_name":"Ultrasound Pupil Image Segmentation Based on Edge Detection and Detection Operators","publication_year":2020,"publication_date":"2020-02-15","ids":{"openalex":"https://openalex.org/W3030173179","doi":"https://doi.org/10.1145/3383972.3384045","mag":"3030173179"},"language":"en","primary_location":{"id":"doi:10.1145/3383972.3384045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090906323","display_name":"Yunyun Yang","orcid":"https://orcid.org/0000-0002-0488-7652"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyun Yang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008578","display_name":"Chong Feng","orcid":"https://orcid.org/0009-0000-6731-3093"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Feng","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600016","display_name":"Ruofan Wang","orcid":"https://orcid.org/0009-0000-8236-1122"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruofan Wang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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/T10862","display_name":"AI in cancer detection","score":0.9926999807357788,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9804999828338623,"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/canny-edge-detector","display_name":"Canny edge detector","score":0.7687174081802368},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7510467767715454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7466857433319092},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7366198897361755},{"id":"https://openalex.org/keywords/pupil","display_name":"Pupil","score":0.7208252549171448},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6881144642829895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6519614458084106},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5858469009399414},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5775539875030518},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48784828186035156},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.48608091473579407},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4507923722267151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39314040541648865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36387336254119873},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30547940731048584},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09075310826301575},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08670914173126221},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.0794190764427185},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05149903893470764}],"concepts":[{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.7687174081802368},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7510467767715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7466857433319092},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7366198897361755},{"id":"https://openalex.org/C2777394604","wikidata":"https://www.wikidata.org/wiki/Q173318","display_name":"Pupil","level":2,"score":0.7208252549171448},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6881144642829895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519614458084106},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5858469009399414},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5775539875030518},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48784828186035156},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.48608091473579407},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4507923722267151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39314040541648865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36387336254119873},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30547940731048584},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09075310826301575},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08670914173126221},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0794190764427185},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05149903893470764},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383972.3384045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3384045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","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":10,"referenced_works":["https://openalex.org/W114476996","https://openalex.org/W1495971627","https://openalex.org/W2003370853","https://openalex.org/W2106097225","https://openalex.org/W2116040950","https://openalex.org/W2123211807","https://openalex.org/W2139478903","https://openalex.org/W4250533120","https://openalex.org/W6681893956","https://openalex.org/W6683148741"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W2387510934","https://openalex.org/W3169126738","https://openalex.org/W3093839383","https://openalex.org/W2056066761","https://openalex.org/W2305304842","https://openalex.org/W2130933797","https://openalex.org/W4313525844","https://openalex.org/W2383691328","https://openalex.org/W2116510815"],"abstract_inverted_index":{"Ultrasound":[0],"imaging":[1],"technology":[2],"is":[3,45,88],"developing":[4],"rapidly":[5],"and":[6,23,40,66,77],"ultrasound":[7,32,105,115],"images":[8,33],"can":[9,97],"provide":[10],"a":[11,85],"lot":[12],"of":[13,91,101],"information":[14],"for":[15,123],"doctors":[16],"to":[17,70,83],"diagnose.":[18],"However,":[19],"the":[20,75,89,92,99],"same":[21],"tissues":[22],"organs":[24],"show":[25,120],"large":[26],"differences":[27],"in":[28,31,38,47],"edge":[29,52,64,102],"strength":[30],"which":[34,50,87],"may":[35],"cause":[36],"difficulty":[37],"segmentation":[39],"analysis.":[41],"A":[42],"new":[43],"method":[44],"proposed":[46,57,68,109],"this":[48],"paper,":[49],"integrates":[51],"detection":[53,58,65],"operator":[54],"with":[55],"our":[56,67],"operators.":[59],"We":[60],"first":[61],"use":[62,79],"canny":[63],"operators":[69],"find":[71],"three":[72,81],"points":[73,82],"on":[74,104,113],"pupil,":[76],"then":[78],"these":[80],"draw":[84],"circle,":[86],"contour":[90],"pupil.":[93],"Such":[94],"an":[95],"algorithm":[96,110],"eliminate":[98],"effect":[100],"blur":[103],"pupil":[106,116,125],"segmentation.":[107,127],"The":[108],"was":[111],"tested":[112],"100":[114],"images.":[117],"Experimental":[118],"results":[119],"its":[121],"effectiveness":[122],"ultrsound":[124],"image":[126]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}