{"id":"https://openalex.org/W3045840750","doi":"https://doi.org/10.1145/3406971.3406977","title":"Polyp Classification Based on Deep Neural Network for Colonoscopic Images","display_name":"Polyp Classification Based on Deep Neural Network for Colonoscopic Images","publication_year":2020,"publication_date":"2020-06-26","ids":{"openalex":"https://openalex.org/W3045840750","doi":"https://doi.org/10.1145/3406971.3406977","mag":"3045840750"},"language":"en","primary_location":{"id":"doi:10.1145/3406971.3406977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406971.3406977","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 The 4th International Conference on Graphics and Signal Processing","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/A5066278415","display_name":"Ming\u2010Hsien Tsai","orcid":"https://orcid.org/0000-0002-7025-6656"},"institutions":[{"id":"https://openalex.org/I130510345","display_name":"Dayeh University","ror":"https://ror.org/03c6e8r26","country_code":"TW","type":"education","lineage":["https://openalex.org/I130510345"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hsien Tsai","raw_affiliation_strings":["Dept. of Computer Science and Information Engineering, Da-Yeh University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, Da-Yeh University, Taiwan","institution_ids":["https://openalex.org/I130510345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068388130","display_name":"Wen-Jan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I130510345","display_name":"Dayeh University","ror":"https://ror.org/03c6e8r26","country_code":"TW","type":"education","lineage":["https://openalex.org/I130510345"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Jan Chen","raw_affiliation_strings":["Dept. of Computer Science and Information Engineering, Da-Yeh University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, Da-Yeh University, Taiwan","institution_ids":["https://openalex.org/I130510345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110915988","display_name":"Jen\u2010Yung Lin","orcid":"https://orcid.org/0009-0003-1987-1869"},"institutions":[{"id":"https://openalex.org/I130510345","display_name":"Dayeh University","ror":"https://ror.org/03c6e8r26","country_code":"TW","type":"education","lineage":["https://openalex.org/I130510345"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Yung Lin","raw_affiliation_strings":["Dept. of Computer Science and Information Engineering, Da-Yeh University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, Da-Yeh University, Taiwan","institution_ids":["https://openalex.org/I130510345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023487478","display_name":"Guo-Shiang Lin","orcid":"https://orcid.org/0000-0003-3422-2683"},"institutions":[{"id":"https://openalex.org/I65446980","display_name":"National Chin-Yi University of Technology","ror":"https://ror.org/040bs6h16","country_code":"TW","type":"education","lineage":["https://openalex.org/I65446980"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guo-Shiang Lin","raw_affiliation_strings":["Dept. of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, National Chin-Yi University of Technology, Taiwan","institution_ids":["https://openalex.org/I65446980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078744722","display_name":"Sheng\u2010Lei Yan","orcid":"https://orcid.org/0000-0003-4305-8520"},"institutions":[{"id":"https://openalex.org/I4210124028","display_name":"Chang Bing Show Chwan Memorial Hospital","ror":"https://ror.org/02ntc9t93","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210124028"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Lei Yan","raw_affiliation_strings":["Dept. of Internal Medicine, Chang Bing Show-Chwan Memorial Hospital, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Internal Medicine, Chang Bing Show-Chwan Memorial Hospital, Taiwan","institution_ids":["https://openalex.org/I4210124028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52399407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9793999791145325,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8166615962982178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913042664527893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6008470058441162},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5873249173164368},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.5831891894340515},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49761679768562317},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4949178099632263},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4577644169330597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43873846530914307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4378115236759186},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.41738882660865784}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8166615962982178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913042664527893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6008470058441162},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5873249173164368},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.5831891894340515},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49761679768562317},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4949178099632263},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4577644169330597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43873846530914307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4378115236759186},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.41738882660865784},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3406971.3406977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3406971.3406977","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 The 4th International Conference on Graphics and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1628660054","https://openalex.org/W1978553813","https://openalex.org/W2054687326","https://openalex.org/W2088339116","https://openalex.org/W2130306094","https://openalex.org/W2152977846","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2170626610","https://openalex.org/W2194775991","https://openalex.org/W2319652951","https://openalex.org/W2570343428","https://openalex.org/W2963037989","https://openalex.org/W2967564472","https://openalex.org/W6687483927","https://openalex.org/W6731892127"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W3198847674","https://openalex.org/W3096913503"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,43],"colorectal":[4,115],"polyp":[5],"classification":[6],"method":[7,107],"based":[8],"on":[9,52],"deep":[10],"neural":[11],"network":[12],"(DNN)":[13],"was":[14,60],"proposed":[15,77,106],"for":[16,84,94],"BLI":[17,118],"(Blue":[18],"Laser":[19],"Imaging)":[20],"images.":[21,119],"Since":[22],"polyps":[23,64],"can":[24,91,108],"be":[25],"considered":[26],"as":[27],"objects,":[28],"an":[29],"one-stage":[30],"object":[31],"detection":[32],"network,":[33],"YOLO":[34],"(You":[35],"Only":[36],"Look":[37],"Once),":[38],"is":[39],"selected":[40],"to":[41,46,62],"develop":[42],"computer-aided":[44],"system":[45],"detect":[47,111],"and":[48,55,69,88],"classify":[49,63,114],"polyps.":[50],"Based":[51],"data":[53],"augmentation":[54],"transfer":[56],"learning,":[57],"the":[58,73,76,98,105],"DNN":[59],"modified":[61],"into":[65],"two":[66],"classes:":[67],"hyperplastic":[68],"adenomatous.":[70],"To":[71],"evaluate":[72],"performance":[74],"of":[75],"method,":[78],"many":[79],"colonoscopic":[80],"images":[81],"are":[82],"collected":[83],"testing.":[85],"The":[86],"precision":[87],"recall":[89],"rates":[90],"achieve":[92],"99%":[93],"234":[95],"cases":[96],"outside":[97],"training":[99],"set.":[100],"Experimental":[101],"results":[102],"show":[103],"that":[104],"not":[109],"only":[110],"but":[112],"also":[113],"Polyps":[116],"in":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}