{"id":"https://openalex.org/W2185640395","doi":"https://doi.org/10.1109/sips.2015.7345001","title":"Bleeding detection in wireless capsule endoscopy based on MST clustering and SVM","display_name":"Bleeding detection in wireless capsule endoscopy based on MST clustering and SVM","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2185640395","doi":"https://doi.org/10.1109/sips.2015.7345001","mag":"2185640395"},"language":"en","primary_location":{"id":"doi:10.1109/sips.2015.7345001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2015.7345001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Signal Processing Systems (SiPS)","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/A5034623596","display_name":"Yi Xiong","orcid":"https://orcid.org/0000-0003-1464-2955"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Xiong","raw_affiliation_strings":["School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014411780","display_name":"Yiting Zhu","orcid":"https://orcid.org/0000-0003-1113-7507"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiting Zhu","raw_affiliation_strings":["School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101690161","display_name":"Zhiyong Pang","orcid":"https://orcid.org/0000-0003-3608-291X"},"institutions":[{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Pang","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute, Foshan, China","School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute, Foshan, China","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071995111","display_name":"Yuzhe Ma","orcid":"https://orcid.org/0000-0002-3612-4182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuzhe Ma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071453879","display_name":"Dihu Chen","orcid":"https://orcid.org/0000-0001-5432-8149"},"institutions":[{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dihu Chen","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute, Foshan, China","School of Microelectronics, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute, Foshan, China","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Microelectronics, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740742","display_name":"Xinying Wang","orcid":"https://orcid.org/0000-0002-6611-9210"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinying Wang","raw_affiliation_strings":["Department of Gastroenterology, Southern Medical University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology, Southern Medical University, Guangzhou, China","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034623596"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.9211,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75554608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11378","display_name":"Gastrointestinal Bleeding Diagnosis and Treatment","score":0.9983999729156494,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/capsule-endoscopy","display_name":"Capsule endoscopy","score":0.8421941995620728},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7553311586380005},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7244659066200256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6622031927108765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6148401498794556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5490430593490601},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44719764590263367},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44018417596817017},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.41181525588035583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3607023358345032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2116546332836151},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17330461740493774},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1451149880886078},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1416148543357849},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11086863279342651}],"concepts":[{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.8421941995620728},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7553311586380005},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7244659066200256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6622031927108765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6148401498794556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5490430593490601},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44719764590263367},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44018417596817017},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.41181525588035583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3607023358345032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2116546332836151},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17330461740493774},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1451149880886078},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1416148543357849},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11086863279342651},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sips.2015.7345001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips.2015.7345001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W1650175677","https://openalex.org/W1963531422","https://openalex.org/W1964168965","https://openalex.org/W1994478058","https://openalex.org/W2072883612","https://openalex.org/W2081338131","https://openalex.org/W2087347434","https://openalex.org/W2089948424","https://openalex.org/W2105130113","https://openalex.org/W2106279103","https://openalex.org/W2109506130","https://openalex.org/W2115381060","https://openalex.org/W2117463251","https://openalex.org/W2139212933","https://openalex.org/W2152888071","https://openalex.org/W2154776925","https://openalex.org/W2158505826","https://openalex.org/W2167597393","https://openalex.org/W2169036536","https://openalex.org/W2363105902","https://openalex.org/W2752885492","https://openalex.org/W4246219036","https://openalex.org/W4247086295","https://openalex.org/W4285719527","https://openalex.org/W6677418380","https://openalex.org/W6682685428","https://openalex.org/W6682981795","https://openalex.org/W6990414250"],"related_works":["https://openalex.org/W2609695940","https://openalex.org/W2608489025","https://openalex.org/W182326524","https://openalex.org/W2316510287","https://openalex.org/W2412302037","https://openalex.org/W2671563698","https://openalex.org/W3024603824","https://openalex.org/W1537084870","https://openalex.org/W4388517563","https://openalex.org/W2440623997"],"abstract_inverted_index":{"Wireless":[0],"capsule":[1],"endoscopy":[2],"(WCE),":[3],"a":[4,14,39],"widely":[5],"used":[6],"tool":[7],"for":[8,28,42],"gastrointestinal":[9],"tract":[10],"lesion":[11],"detection,":[12],"produces":[13],"large":[15],"number":[16],"of":[17,46,109],"images.":[18,35,102],"However,":[19],"it":[20],"is":[21],"difficult":[22],"and":[23,29,78,95,107,116],"inefficient":[24],"to":[25,63],"manually":[26],"search":[27],"find":[30],"bleeding":[31,47,98],"lesions":[32],"among":[33],"these":[34],"In":[36],"this":[37,90],"study,":[38],"new":[40],"method":[41,91,112],"the":[43,65,69,75,97],"automatic":[44],"identification":[45],"frames":[48],"in":[49,100],"WCE":[50,101],"has":[51],"been":[52],"proposed.":[53],"The":[54,85,103],"minimum":[55],"spanning":[56],"tree":[57],"(MST)":[58],"clustering":[59,76],"algorithm":[60],"was":[61],"applied":[62],"reduce":[64],"background":[66],"noise.":[67],"Then,":[68],"images'":[70],"features":[71],"are":[72,113],"extracted":[73],"from":[74],"result":[77],"classified":[79],"by":[80],"support":[81],"vector":[82],"machine":[83],"(SVM).":[84],"experimental":[86],"results,":[87],"suggest":[88],"that":[89],"can":[92],"correctly":[93],"identify":[94],"mark":[96],"areas":[99],"final":[104],"sensitivity,":[105],"specificity":[106],"accuracy":[108],"our":[110],"proposed":[111],"91.69%,":[114],"94.59%,":[115],"94.10%,":[117],"respectively.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
