{"id":"https://openalex.org/W2023726455","doi":"https://doi.org/10.1142/s0219878907001228","title":"A NOVEL ENHANCEMENT METHOD FOR CAPSULE ENDOSCOPY IMAGES","display_name":"A NOVEL ENHANCEMENT METHOD FOR CAPSULE ENDOSCOPY IMAGES","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2023726455","doi":"https://doi.org/10.1142/s0219878907001228","mag":"2023726455"},"language":"en","primary_location":{"id":"doi:10.1142/s0219878907001228","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219878907001228","pdf_url":null,"source":{"id":"https://openalex.org/S186208447","display_name":"International Journal of Information Acquisition","issn_l":"0219-8789","issn":["0219-8789","1793-6985"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Acquisition","raw_type":"journal-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/A5087869694","display_name":"Baopu Li","orcid":"https://orcid.org/0000-0002-9032-3991"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"BAOPU LI","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021531143","display_name":"Max Q.\u2010H. Meng","orcid":"https://orcid.org/0000-0002-5255-5898"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"MAX Q.-H. MENG","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087869694"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09298236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"04","issue":"02","first_page":"117","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.980400025844574,"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":0.980400025844574,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9751999974250793,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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":0.9688948392868042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8089683055877686},{"id":"https://openalex.org/keywords/endoscopy","display_name":"Endoscopy","score":0.5935133099555969},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.55573570728302},{"id":"https://openalex.org/keywords/capsule","display_name":"Capsule","score":0.46380993723869324},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45498859882354736},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45179155468940735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4359606206417084},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.32412612438201904},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1930868923664093}],"concepts":[{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.9688948392868042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8089683055877686},{"id":"https://openalex.org/C2778451229","wikidata":"https://www.wikidata.org/wiki/Q212809","display_name":"Endoscopy","level":2,"score":0.5935133099555969},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.55573570728302},{"id":"https://openalex.org/C2778778583","wikidata":"https://www.wikidata.org/wiki/Q147768","display_name":"Capsule","level":2,"score":0.46380993723869324},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45498859882354736},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45179155468940735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359606206417084},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.32412612438201904},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1930868923664093},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219878907001228","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219878907001228","pdf_url":null,"source":{"id":"https://openalex.org/S186208447","display_name":"International Journal of Information Acquisition","issn_l":"0219-8789","issn":["0219-8789","1793-6985"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Acquisition","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1543214292","https://openalex.org/W2001002651","https://openalex.org/W2108944658","https://openalex.org/W2125732958","https://openalex.org/W2127626572","https://openalex.org/W2128931829","https://openalex.org/W2130094715","https://openalex.org/W2133251749","https://openalex.org/W2137676365","https://openalex.org/W2138473241","https://openalex.org/W2141377313","https://openalex.org/W2151958211","https://openalex.org/W2160752412","https://openalex.org/W4212991200"],"related_works":["https://openalex.org/W3030044919","https://openalex.org/W3203912675","https://openalex.org/W2102642646","https://openalex.org/W2071480658","https://openalex.org/W4385703636","https://openalex.org/W1982519802","https://openalex.org/W2045020540","https://openalex.org/W4229079927","https://openalex.org/W2609650592","https://openalex.org/W3030696307"],"abstract_inverted_index":{"To":[0,68],"assist":[1],"the":[2,12,23,26,43,61,84,90,94,109,117,131,149],"diagnosis,":[3],"this":[4,125],"paper":[5],"presents":[6],"a":[7,74,101,137],"new":[8,102,126],"algorithm":[9],"to":[10,21,56,64,82,115],"enhance":[11,83,116,130],"capsule":[13,39,85,95,118,132],"endoscopy":[14,36,40,86,96,119,133],"images,":[15,97,134],"which":[16,52,135],"are":[17],"now":[18],"widely":[19],"used":[20],"detect":[22],"diseases":[24],"in":[25],"digestive":[27],"tract":[28],"because":[29],"of":[30,93,104,144,146],"its":[31],"great":[32],"advantages":[33],"over":[34],"traditional":[35],"technologies.":[37],"The":[38],"images":[41],"have":[42],"characteristics":[44],"such":[45],"as":[46],"low":[47,50],"resolution":[48],"and":[49,58,77,111,140],"contrast,":[51],"cause":[53],"some":[54],"difficulties":[55],"analysis":[57,92],"diagnosis":[59],"for":[60],"physicians,":[62],"especially":[63],"computer":[65],"aided":[66],"diagnosis.":[67],"overcome":[69],"these":[70],"shortcomings,":[71],"we":[72,98,107],"propose":[73],"contrast-based":[75],"forward":[76,100,110],"backward":[78,112],"anisotropic":[79,113],"diffusion":[80,114],"method":[81,127],"images.":[87,120],"Based":[88],"on":[89],"local":[91],"put":[99],"concept":[103],"contrast.":[105],"Then,":[106],"employ":[108],"Experimental":[121],"results":[122],"show":[123],"that":[124],"can":[128],"efficiently":[129],"provides":[136],"better":[138],"visualization":[139],"an":[141],"improved":[142],"discrimination":[143],"region":[145],"interest":[147],"from":[148],"background.":[150]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}