{"id":"https://openalex.org/W3093865178","doi":"https://doi.org/10.3390/s20215982","title":"Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models","display_name":"Enhanced Image-Based Endoscopic Pathological Site Classification Using an Ensemble of Deep Learning Models","publication_year":2020,"publication_date":"2020-10-22","ids":{"openalex":"https://openalex.org/W3093865178","doi":"https://doi.org/10.3390/s20215982","mag":"3093865178","pmid":"https://pubmed.ncbi.nlm.nih.gov/33105736"},"language":"en","primary_location":{"id":"doi:10.3390/s20215982","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20215982","pdf_url":"https://www.mdpi.com/1424-8220/20/21/5982/pdf?version=1603366280","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/21/5982/pdf?version=1603366280","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023881129","display_name":"Dat Tien Nguyen","orcid":"https://orcid.org/0000-0002-6029-6849"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dat Tien Nguyen","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067164654","display_name":"Min Beom Lee","orcid":"https://orcid.org/0000-0003-0661-6888"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min Beom Lee","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058898555","display_name":"Tuyen Danh Pham","orcid":"https://orcid.org/0000-0002-0355-4995"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tuyen Danh Pham","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086481810","display_name":"Ganbayar Batchuluun","orcid":"https://orcid.org/0000-0003-1456-5697"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ganbayar Batchuluun","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080344855","display_name":"Muhammad Arsalan","orcid":"https://orcid.org/0000-0003-1868-5207"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Muhammad Arsalan","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":"https://orcid.org/0000-0003-1868-5207","affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083173630","display_name":"Kang Ryoung Park","orcid":"https://orcid.org/0000-0002-1214-9510"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kang Ryoung Park","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5086481810"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.7879,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87563292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"21","first_page":"5982","last_page":"5982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9987000226974487,"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":0.9987000226974487,"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/T10862","display_name":"AI in cancer detection","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9872000217437744,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7122433185577393},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.6669095754623413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581062078475952},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6529488563537598},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5243133306503296},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49922847747802734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46795809268951416},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4339442253112793},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.41543814539909363},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.41365480422973633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40143755078315735},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23801741003990173},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.22521620988845825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21848919987678528},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10066014528274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122433185577393},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.6669095754623413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581062078475952},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6529488563537598},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5243133306503296},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49922847747802734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46795809268951416},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4339442253112793},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.41543814539909363},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.41365480422973633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40143755078315735},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23801741003990173},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.22521620988845825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21848919987678528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10066014528274536},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004724","descriptor_name":"Endoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013274","descriptor_name":"Stomach Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013274","descriptor_name":"Stomach Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013274","descriptor_name":"Stomach Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20215982","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20215982","pdf_url":"https://www.mdpi.com/1424-8220/20/21/5982/pdf?version=1603366280","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33105736","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33105736","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:e4340ac7bb494ac7bc4e90da81112eca","is_oa":true,"landing_page_url":"https://doaj.org/article/e4340ac7bb494ac7bc4e90da81112eca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 21, p 5982 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/21/5982/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20215982","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 21; Pages: 5982","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7660061","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7660061","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20215982","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20215982","pdf_url":"https://www.mdpi.com/1424-8220/20/21/5982/pdf?version=1603366280","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1738276608","display_name":null,"funder_award_id":"NRF-2017R1C1B5074062","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3458716721","display_name":null,"funder_award_id":"NRF-2016M3A9E1915855","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6884349592","display_name":null,"funder_award_id":"NRF-2020R1A2C1006179","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093865178.pdf","grobid_xml":"https://content.openalex.org/works/W3093865178.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1884191083","https://openalex.org/W2036195238","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2193969413","https://openalex.org/W2194775991","https://openalex.org/W2292862470","https://openalex.org/W2301358467","https://openalex.org/W2412197858","https://openalex.org/W2508524349","https://openalex.org/W2511730936","https://openalex.org/W2518674481","https://openalex.org/W2541669745","https://openalex.org/W2594760301","https://openalex.org/W2735666957","https://openalex.org/W2796347433","https://openalex.org/W2807139573","https://openalex.org/W2883547127","https://openalex.org/W2900992792","https://openalex.org/W2903600980","https://openalex.org/W2918792723","https://openalex.org/W2946810136","https://openalex.org/W2949650786","https://openalex.org/W2950179405","https://openalex.org/W2950792372","https://openalex.org/W2959707910","https://openalex.org/W2962793481","https://openalex.org/W2962858109","https://openalex.org/W2963104294","https://openalex.org/W2963446712","https://openalex.org/W2983132969","https://openalex.org/W2984489845","https://openalex.org/W2989692526","https://openalex.org/W2999493547","https://openalex.org/W3006349040","https://openalex.org/W3013244916","https://openalex.org/W3013915286","https://openalex.org/W4205426786","https://openalex.org/W6674330103","https://openalex.org/W6910387809"],"related_works":["https://openalex.org/W2365243064","https://openalex.org/W2334610590","https://openalex.org/W2320366403","https://openalex.org/W3204197061","https://openalex.org/W4251350712","https://openalex.org/W637098845","https://openalex.org/W3124943098","https://openalex.org/W4308112567","https://openalex.org/W3162132941","https://openalex.org/W2795259429"],"abstract_inverted_index":{"In":[0,76],"vivo":[1,88],"diseases":[2,72],"such":[3,107],"as":[4,108,240],"colorectal":[5],"cancer":[6,9,24,39],"and":[7,33,50,61,99,150],"gastric":[8],"are":[10,16,40],"increasingly":[11],"occurring":[12],"in":[13,48,63,70,87,146,156],"humans.":[14],"These":[15],"two":[17],"of":[18,23,35,38,96,121,134,154,188,201,216,232],"the":[19,30,46,86,131,139,148,152,157,180,186,199,214,230,243],"most":[20],"common":[21],"types":[22,37],"that":[25,102,213],"cause":[26],"death":[27],"worldwide.":[28],"Therefore,":[29],"early":[31],"detection":[32],"treatment":[34],"these":[36],"crucial":[41],"for":[42,228],"saving":[43],"lives.":[44],"With":[45],"advances":[47],"technology":[49],"image":[51],"processing":[52],"techniques,":[53],"computer-aided":[54],"diagnosis":[55,158],"(CAD)":[56],"systems":[57,66],"have":[58],"been":[59],"developed":[60],"applied":[62],"several":[64],"medical":[65],"to":[67,84,125,128,165,197,242],"assist":[68,126],"doctors":[69,127,155],"diagnosing":[71],"using":[73,236],"imaging":[74],"technology.":[75],"this":[77,167],"study,":[78],"we":[79,143,184,211],"propose":[80,185],"a":[81,97,109,174,237],"CAD":[82,238],"method":[83],"preclassify":[85],"endoscopic":[89,135],"images":[90],"into":[91],"negative":[92,140],"(images":[93,101],"without":[94],"evidence":[95],"disease)":[98],"positive":[100,132],"possibly":[103],"include":[104],"pathological":[105,202,233],"sites":[106],"polyp":[110],"or":[111],"suspected":[112],"regions":[113],"including":[114],"complex":[115],"vascular":[116],"information)":[117],"cases.":[118],"The":[119],"goal":[120],"our":[122],"study":[123],"is":[124,225],"focus":[129],"on":[130,173,193],"frames":[133],"sequence":[136],"rather":[137],"than":[138],"frames.":[141],"Consequently,":[142],"can":[144],"help":[145],"enhancing":[147,229],"performance":[149,200,231],"mitigating":[151],"efforts":[153],"procedure.":[159],"Although":[160],"previous":[161],"studies":[162],"were":[163,170],"conducted":[164],"solve":[166],"problem,":[168],"they":[169],"mostly":[171],"based":[172,192],"single":[175],"classification":[176,181,190,235],"model,":[177],"thus":[178],"limiting":[179],"performance.":[182],"Thus,":[183],"use":[187],"multiple":[189,217],"models":[191,220],"ensemble":[194,215],"learning":[195],"techniques":[196],"enhance":[198],"site":[203,234],"classification.":[204],"Through":[205],"experiments":[206],"with":[207,221],"an":[208],"open":[209],"database,":[210],"confirmed":[212],"deep":[218],"learning-based":[219],"different":[222],"network":[223],"architectures":[224],"more":[226],"efficient":[227],"system":[239],"compared":[241],"state-of-the-art":[244],"methods.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
