{"id":"https://openalex.org/W4212892074","doi":"https://doi.org/10.1117/12.2612651","title":"Automatic polyp detection using SmartEndo-Net based on fusion feature pyramid network with mix-up edges","display_name":"Automatic polyp detection using SmartEndo-Net based on fusion feature pyramid network with mix-up edges","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4212892074","doi":"https://doi.org/10.1117/12.2612651"},"language":"en","primary_location":{"id":"doi:10.1117/12.2612651","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612651","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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":"Medical Imaging 2022: Computer-Aided Diagnosis","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/A5100650652","display_name":"Young Jae Kim","orcid":"https://orcid.org/0000-0003-0443-0051"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young Jae Kim","raw_affiliation_strings":["Gachon Univ. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"Gachon Univ. (Korea, Republic of)","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087781937","display_name":"Sohyun Byun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sohyun Byun","raw_affiliation_strings":["INFINITT Healthcare Co., Ltd. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"INFINITT Healthcare Co., Ltd. (Korea, Republic of)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077557504","display_name":"Choong-Il Ahn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choong-Il Ahn","raw_affiliation_strings":["INFINITT Healthcare Co., Ltd. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"INFINITT Healthcare Co., Ltd. (Korea, Republic of)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018592376","display_name":"Sang Wook Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sang Wook Cho","raw_affiliation_strings":["INFINITT Healthcare Co., Ltd. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"INFINITT Healthcare Co., Ltd. (Korea, Republic of)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073765158","display_name":"Kwang Gi Kim","orcid":"https://orcid.org/0000-0001-9714-6038"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang Gi Kim","raw_affiliation_strings":["Gachon Univ. (Korea, Republic of)"],"affiliations":[{"raw_affiliation_string":"Gachon Univ. (Korea, Republic of)","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100650652"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00490196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"125","last_page":"125"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9681000113487244,"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/T10696","display_name":"Gastric Cancer Management and Outcomes","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.7675119042396545},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6836140155792236},{"id":"https://openalex.org/keywords/colonoscopy","display_name":"Colonoscopy","score":0.6291638016700745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6186251640319824},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6176077127456665},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.616809606552124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.575577974319458},{"id":"https://openalex.org/keywords/colorectal-polyp","display_name":"Colorectal Polyp","score":0.5734418630599976},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5210760831832886},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47394540905952454},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44983962178230286},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.4355420768260956},{"id":"https://openalex.org/keywords/fusion-mechanism","display_name":"Fusion mechanism","score":0.42570385336875916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38681504130363464},{"id":"https://openalex.org/keywords/colorectal-cancer","display_name":"Colorectal cancer","score":0.3528591990470886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30684763193130493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2475683093070984},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18641045689582825},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.17524152994155884},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09399285912513733}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7675119042396545},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6836140155792236},{"id":"https://openalex.org/C2778435480","wikidata":"https://www.wikidata.org/wiki/Q840387","display_name":"Colonoscopy","level":4,"score":0.6291638016700745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186251640319824},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6176077127456665},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.616809606552124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.575577974319458},{"id":"https://openalex.org/C2910564736","wikidata":"https://www.wikidata.org/wiki/Q1209892","display_name":"Colorectal Polyp","level":5,"score":0.5734418630599976},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5210760831832886},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47394540905952454},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44983962178230286},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.4355420768260956},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.42570385336875916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38681504130363464},{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.3528591990470886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30684763193130493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2475683093070984},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18641045689582825},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.17524152994155884},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09399285912513733},{"id":"https://openalex.org/C103038307","wikidata":"https://www.wikidata.org/wiki/Q6556360","display_name":"Lipid bilayer fusion","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2612651","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612651","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8999999761581421,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2624917431","https://openalex.org/W2806175674","https://openalex.org/W3009963727","https://openalex.org/W4302047144","https://openalex.org/W6681928485","https://openalex.org/W6752536501"],"related_works":["https://openalex.org/W4318751391","https://openalex.org/W4390398949","https://openalex.org/W2364404923","https://openalex.org/W2058718607","https://openalex.org/W1490793564","https://openalex.org/W4226506746","https://openalex.org/W4221158788","https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W3197089899"],"abstract_inverted_index":{"Colonoscopy":[0],"is":[1,79,123],"essential":[2],"for":[3,13,48],"examining":[4],"colorectal":[5,22,67],"polyp":[6,33,49,68,76,158],"or":[7],"cancer.":[8],"Examining":[9],"colonoscopy":[10,36],"has":[11,37,54],"allowed":[12],"a":[14,63,109],"reduction":[15],"in":[16,81,92],"the":[17,25,75,82,96],"incidence":[18],"and":[19,27,43,45,111,118,128,136,143,148,161],"mortality":[20],"of":[21,29,95,134,157],"cancer":[23],"through":[24],"detection":[26,50,69,154],"removal":[28],"polyps.":[30],"However,":[31],"missed":[32],"rate":[34],"during":[35],"been":[38,55],"reported":[39],"as":[40],"approximately":[41],"24%":[42],"intra-":[44],"inter-observer":[46],"variability":[47],"rates":[51],"among":[52],"endoscopists":[53],"an":[56],"issue.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"real-time":[64],"deep":[65],"learning-based":[66],"system":[70],"called":[71],"SmartEndo-Net.":[72],"To":[73,84],"extract":[74],"information,":[77],"ResNet-50":[78],"used":[80],"backbone.":[83],"enable":[85],"high-level":[86],"feature":[87,98],"fusion,":[88],"extra":[89],"mix-up":[90],"edges":[91],"all":[93],"level":[94],"fusion":[97],"pyramid":[99],"network":[100,113,138],"(FPN)":[101],"are":[102,106],"added.":[103],"Fusion":[104],"features":[105],"fed":[107],"to":[108,114],"class":[110,117],"box":[112,120],"produce":[115],"object":[116],"bounding":[119],"prediction.":[121],"SmartEndo-Net":[122,131,151],"compared":[124],"with":[125],"Yolo-V3,":[126,146],"SSD,":[127,147],"Faster":[129,149],"R-CNN.":[130,150],"recorded":[132],"sensitivity":[133],"92.17%":[135],"proposed":[137],"was":[139],"higher":[140],"7.96%,":[141],"6.78%,":[142],"10.05%":[144],"than":[145],"showed":[152],"stable":[153],"results":[155],"regardless":[156],"size,":[159],"shape,":[160],"surrounding":[162],"structures.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
