{"id":"https://openalex.org/W4200319515","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624380","title":"Fusion of Selected Deep CNN and Handcrafted Features for Gastritis Detection from Wireless Capsule Endoscopy Images","display_name":"Fusion of Selected Deep CNN and Handcrafted Features for Gastritis Detection from Wireless Capsule Endoscopy Images","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4200319515","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624380"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei53629.2021.9624380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624380","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063344472","display_name":"Bailiang Zhao","orcid":"https://orcid.org/0000-0003-0659-6565"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailiang Zhao","raw_affiliation_strings":["School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015408638","display_name":"Wendell Q. Sun","orcid":"https://orcid.org/0000-0002-7002-4652"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendell Q. Sun","raw_affiliation_strings":["School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059438349","display_name":"Liangchao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangchao Wang","raw_affiliation_strings":["School of Communication and Electronic Engineering, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058455658","display_name":"Menghan Hu","orcid":"https://orcid.org/0000-0002-8557-8930"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghan Hu","raw_affiliation_strings":["School of Communication and Electronic Engineering, East China Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Electronic Engineering, East China Normal University","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.9995999932289124,"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":0.9995999932289124,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8170223236083984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225623726844788},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7133645415306091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6192787885665894},{"id":"https://openalex.org/keywords/capsule-endoscopy","display_name":"Capsule endoscopy","score":0.6099022030830383},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5671946406364441},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5221429467201233},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4256190061569214},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11729753017425537},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08009570837020874}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8170223236083984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225623726844788},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7133645415306091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6192787885665894},{"id":"https://openalex.org/C2777333622","wikidata":"https://www.wikidata.org/wiki/Q116753","display_name":"Capsule endoscopy","level":2,"score":0.6099022030830383},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5671946406364441},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5221429467201233},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4256190061569214},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11729753017425537},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08009570837020874}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei53629.2021.9624380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624380","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6200000047683716,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2271898959","display_name":null,"funder_award_id":"61831015,61901172","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5891197587","display_name":null,"funder_award_id":"19511120100,18DZ2270700,18DZ2270800","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1650175677","https://openalex.org/W1979198141","https://openalex.org/W1979378207","https://openalex.org/W1988790447","https://openalex.org/W1995517024","https://openalex.org/W2004891148","https://openalex.org/W2020426296","https://openalex.org/W2062848412","https://openalex.org/W2555288852","https://openalex.org/W2594656827","https://openalex.org/W2751538714","https://openalex.org/W2753461673","https://openalex.org/W2789130498","https://openalex.org/W2806476434","https://openalex.org/W2881678155","https://openalex.org/W2911440706","https://openalex.org/W2922278676","https://openalex.org/W2978294504","https://openalex.org/W2997781171","https://openalex.org/W3003457589","https://openalex.org/W3019872864","https://openalex.org/W3038794251","https://openalex.org/W4239944110"],"related_works":["https://openalex.org/W2608489025","https://openalex.org/W182326524","https://openalex.org/W2316510287","https://openalex.org/W2412302037","https://openalex.org/W2609695940","https://openalex.org/W3024603824","https://openalex.org/W1537084870","https://openalex.org/W4388517563","https://openalex.org/W2440623997","https://openalex.org/W2671563698"],"abstract_inverted_index":{"The":[0,141,192],"wireless":[1],"capsule":[2],"endoscope":[3],"(WCE)":[4],"is":[5,53,69],"usually":[6],"used":[7,161,188],"in":[8,39,94,116],"the":[9,17,30,36,40,48,64,67,73,76,79,82,95,105,113,117,138,164,168,197,203,216],"detection":[10,200],"of":[11,19,35,43,50,57,66,75,81,112,119,129,222],"digestive":[12],"tract":[13],"diseases.":[14],"It":[15],"has":[16],"advantages":[18],"simple":[20],"use,":[21],"convenient":[22],"inspection,":[23],"no":[24],"pain,":[25],"and":[26,78,121,133,145,151,185,209,213,220,228],"ability":[27],"to":[28,60,72,87,91,136,162,189],"inspect":[29],"small":[31,114],"intestine,":[32],"becoming":[33],"one":[34],"hot":[37],"spots":[38],"research":[41],"field":[42],"medical":[44],"device.":[45],"At":[46],"present,":[47],"examination":[49],"WCE":[51],"images":[52,58],"mainly":[54],"manual.":[55],"Thousands":[56],"need":[59],"be":[61],"examined.":[62],"Therefore,":[63],"accuracy":[65],"diagnosis":[68],"closely":[70],"related":[71],"experience":[74],"doctor":[77],"state":[80],"examination.":[83,96],"This":[84],"study":[85],"intends":[86],"develop":[88],"a":[89,100,127],"model":[90,190,201],"assist":[92],"doctors":[93],"First,":[97],"we":[98,124],"established":[99],"gastritis":[101,120,139,199],"dataset":[102],"based":[103],"on":[104],"endoscopic":[106],"data":[107],"from":[108],"20":[109],"patients.":[110],"Because":[111],"differences":[115],"appearance":[118],"normal":[122],"images,":[123],"creatively":[125],"proposed":[126],"method":[128],"combining":[130],"manual":[131],"features":[132,135,205,208],"depth":[134],"characterize":[137],"images.":[140],"Least":[142],"absolute":[143],"shrinkage":[144],"selection":[146],"operator":[147],"(Lasso)":[148],"feature":[149],"filtering":[150],"Principal":[152],"Component":[153],"Analysis":[154],"(PCA)":[155],"dimensionality":[156],"reduction":[157],"methods":[158,172],"were":[159,187],"afterwards":[160],"screen":[163],"informative":[165],"features.":[166],"Subsequently,":[167],"multiple":[169],"machine":[170],"learning":[171],"such":[173],"as":[174],"K-Nearest":[175],"Neighbor":[176],"(KNN),":[177],"Support":[178],"Vector":[179],"Machine":[180],"(SVM),":[181],"adaptive":[182],"boostint":[183],"(Adaboost)":[184],"RamdomFroest":[186],"classifiers.":[191],"experimental":[193],"results":[194],"show":[195],"that":[196],"best":[198],"using":[202],"selected":[204],"(7":[206],"handcrafted":[207],"13":[210],"deep":[211],"features)":[212],"SVM":[214],"realizes":[215],"accuracy,":[217],"recall,":[218],"precision":[219],"F1-score":[221],"<tex":[223,229],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[224,230],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$97.86\\%\\pm0.82\\%,":[225],"97.32\\%\\pm2.28\\%,\\":[226],"98.32\\%\\pm1.98\\%$</tex>":[227],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$0.98\\pm":[231],"0.01$</tex>":[232],"respectively.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
