{"id":"https://openalex.org/W2584647073","doi":"https://doi.org/10.1109/icarcv.2016.7838722","title":"Bounded iterative thresholding for lumen region detection in endoscopic images","display_name":"Bounded iterative thresholding for lumen region detection in endoscopic images","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2584647073","doi":"https://doi.org/10.1109/icarcv.2016.7838722","mag":"2584647073"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2016.7838722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5110471328","display_name":"Pon Nidhya Elango","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Pon Nidhya Elango","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002694277","display_name":"Siew-Kei Lam","orcid":"https://orcid.org/0000-0002-8346-2635"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Siew-Kei Lam","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Nanyang, Avenue, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Nanyang, Avenue, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110471328"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24014485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9824000000953674,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/thresholding","display_name":"Thresholding","score":0.8711427450180054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6919713616371155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6279975175857544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5524734258651733},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.48136526346206665},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.4461301267147064},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43650099635124207},{"id":"https://openalex.org/keywords/lumen","display_name":"Lumen (anatomy)","score":0.4310251474380493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26032647490501404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1634596884250641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15277594327926636}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8711427450180054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6919713616371155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6279975175857544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5524734258651733},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.48136526346206665},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.4461301267147064},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43650099635124207},{"id":"https://openalex.org/C131631996","wikidata":"https://www.wikidata.org/wiki/Q1141325","display_name":"Lumen (anatomy)","level":2,"score":0.4310251474380493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26032647490501404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1634596884250641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15277594327926636},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2016.7838722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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":15,"referenced_works":["https://openalex.org/W1508309508","https://openalex.org/W1536096137","https://openalex.org/W1906748950","https://openalex.org/W1975879227","https://openalex.org/W2029686270","https://openalex.org/W2052169839","https://openalex.org/W2053187006","https://openalex.org/W2055349601","https://openalex.org/W2085417245","https://openalex.org/W2092301674","https://openalex.org/W2114872279","https://openalex.org/W2124065075","https://openalex.org/W2133059825","https://openalex.org/W2995052524","https://openalex.org/W6771389926"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W1976727107"],"abstract_inverted_index":{"The":[0,54,77,94],"development":[1],"of":[2,15,50,66,68,99,120],"a":[3,20,27,60,113],"fully":[4],"automated":[5],"robotic":[6],"endoscopic":[7,39,91],"steering":[8],"system":[9],"has":[10,80],"been":[11,81],"an":[12],"active":[13],"area":[14],"research":[16],"for":[17,127],"more":[18],"than":[19],"decade.":[21],"This":[22],"paper":[23],"aims":[24],"at":[25],"proposing":[26],"hardware-efficient":[28],"iterative":[29],"thresholding":[30,69],"strategy":[31],"to":[32,43,72,83,109,112],"locate":[33],"the":[34,64,74,97,103,121],"lumen":[35,75],"region":[36],"in":[37,41,70,96],"captured":[38],"images":[40],"order":[42,71],"enhance":[44],"traditional":[45],"endoscopes":[46],"with":[47],"certain":[48],"degree":[49],"autonomy":[51],"and":[52],"intelligence.":[53],"proposed":[55,78,104,122],"method":[56,105],"is":[57],"characterized":[58],"by":[59,102],"definite":[61],"requirement":[62],"on":[63],"number":[65,98],"iterations":[67],"detect":[73],"region.":[76],"algorithm":[79],"demonstrated":[82],"be":[84,107],"robust":[85],"against":[86],"varying":[87],"characteristics":[88],"using":[89],"real":[90],"sample":[92],"images.":[93],"reduction":[95],"operations":[100],"required":[101],"can":[106],"up":[108],"71%":[110],"compared":[111],"previously":[114],"reported":[115],"method.":[116],"FPGA":[117],"synthesis":[118],"results":[119],"approach":[123],"confirm":[124],"its":[125],"viability":[126],"real-time":[128],"realization.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
