{"id":"https://openalex.org/W1601775203","doi":"https://doi.org/10.1109/icarcv.2002.1235033","title":"Quantitative characterization and neural network-based evaluation of colonoscopic images","display_name":"Quantitative characterization and neural network-based evaluation of colonoscopic images","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W1601775203","doi":"https://doi.org/10.1109/icarcv.2002.1235033","mag":"1601775203"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2002.1235033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1235033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","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/A5043499130","display_name":"A Min Tjoa","orcid":"https://orcid.org/0000-0002-8295-9252"},"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":"M.P. Tjoa","raw_affiliation_strings":["BioMedical Engineering Research Centre, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"BioMedical Engineering Research Centre, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017504840","display_name":"Shankar Krishnan","orcid":"https://orcid.org/0000-0002-0374-1352"},"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":"S.M. Krishnan","raw_affiliation_strings":["BioMedical Engineering Research Centre, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"BioMedical Engineering Research Centre, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039994071","display_name":"R. Doraiswami","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. Doraiswami","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of New Brunswick, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of New Brunswick, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043499130"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.2733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57322534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1710","last_page":"1713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9828000068664551,"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":0.9828000068664551,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9560999870300293,"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/backpropagation","display_name":"Backpropagation","score":0.7722890377044678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6910688877105713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6718125343322754},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6487367153167725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6004764437675476},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5596792697906494},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5002729892730713},{"id":"https://openalex.org/keywords/rprop","display_name":"Rprop","score":0.48041868209838867},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.441314160823822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40413329005241394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39122694730758667},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.26918825507164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15918025374412537},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.10355886816978455}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7722890377044678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6910688877105713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6718125343322754},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6487367153167725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6004764437675476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5596792697906494},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5002729892730713},{"id":"https://openalex.org/C98359873","wikidata":"https://www.wikidata.org/wiki/Q1320470","display_name":"Rprop","level":5,"score":0.48041868209838867},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.441314160823822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40413329005241394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39122694730758667},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.26918825507164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15918025374412537},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.10355886816978455},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2002.1235033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1235033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2022604464","https://openalex.org/W2051812123","https://openalex.org/W2056328002","https://openalex.org/W2119571194","https://openalex.org/W2128671378","https://openalex.org/W2143908786","https://openalex.org/W2155482699"],"related_works":["https://openalex.org/W2388181322","https://openalex.org/W4230330636","https://openalex.org/W1499839691","https://openalex.org/W1973946912","https://openalex.org/W2185955524","https://openalex.org/W4237659430","https://openalex.org/W2782354941","https://openalex.org/W2186941647","https://openalex.org/W1994061829","https://openalex.org/W4312154385"],"abstract_inverted_index":{"Extracting":[0],"features":[1,21,56,91],"from":[2,57,75],"the":[3,10,15,18,25,33,37,58,62,76,88,128,136,140,143],"colonoscopic":[4,29,68],"images":[5,30],"is":[6,49,117],"essential":[7],"for":[8],"getting":[9],"quantitative":[11,55],"parameters,":[12],"which":[13,80],"characterizes":[14],"properties":[16],"of":[17,28,67,87,142],"colon.":[19],"The":[20,70,115,131],"are":[22,73,92],"employed":[23],"in":[24,35,61],"computer-assisted":[26],"diagnosis":[27],"to":[31,51],"assist":[32],"physician":[34],"detecting":[36],"colon":[38,129],"status.":[39,130],"Present":[40],"methods":[41],"mostly":[42],"use":[43],"manual":[44],"approaches.":[45],"A":[46],"novel":[47],"scheme":[48],"developed":[50],"extract":[52],"new":[53],"texture-based":[54],"texture":[59,71,77,85],"spectra":[60,72],"chromatic":[63],"and":[64,83,112,124],"achromatic":[65],"domains":[66],"images.":[69],"obtained":[74,134],"unit":[78],"numbers,":[79],"contain":[81],"local":[82],"global":[84],"information":[86],"image.":[89],"These":[90],"evaluated":[93],"using":[94],"supervisory":[95],"Backpropagation":[96],"Neural":[97],"Network":[98],"(BPNN)":[99],"with":[100],"various":[101],"training":[102,120,122],"algorithms,":[103],"viz.,":[104],"resilient":[105],"propagation":[106],"(RPROP),":[107],"scaled":[108],"conjugate":[109],"gradient":[110],"(SCG),":[111],"Marquardt":[113],"algorithms.":[114],"evaluation":[116],"based":[118],"on":[119,126],"time,":[121],"epoch,":[123],"accuracy":[125],"classifying":[127],"preliminary":[132],"results":[133],"by":[135],"proposed":[137],"approach":[138],"support":[139],"feasibility":[141],"technique.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
