{"id":"https://openalex.org/W4386133940","doi":"https://doi.org/10.1109/jbhi.2023.3300288","title":"Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes","display_name":"Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes","publication_year":2023,"publication_date":"2023-08-24","ids":{"openalex":"https://openalex.org/W4386133940","doi":"https://doi.org/10.1109/jbhi.2023.3300288","pmid":"https://pubmed.ncbi.nlm.nih.gov/37796719"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3300288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3300288","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5028590934","display_name":"Kai\u2010Ni Wang","orcid":"https://orcid.org/0000-0002-4000-188X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaini Wang","raw_affiliation_strings":["School of Biological Science and Medical Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4000-188X","affiliations":[{"raw_affiliation_string":"School of Biological Science and Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036941054","display_name":"Shuaishuai Zhuang","orcid":"https://orcid.org/0000-0003-3382-0008"},"institutions":[{"id":"https://openalex.org/I4210152119","display_name":"Jiangsu Province Hospital","ror":"https://ror.org/04py1g812","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152119"]},{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaishuai Zhuang","raw_affiliation_strings":["First Affiliated Hospital of Nanjing Medical University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3382-0008","affiliations":[{"raw_affiliation_string":"First Affiliated Hospital of Nanjing Medical University, Nanjing, China","institution_ids":["https://openalex.org/I4210152119","https://openalex.org/I83519826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786224","display_name":"Juzheng Miao","orcid":"https://orcid.org/0000-0002-7011-1481"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Juzheng Miao","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-7011-1481","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350437","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-5660-6349"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, the School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5660-6349","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, the Laboratory of Image Science and Technology, the School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101835587","display_name":"Jie Hua","orcid":"https://orcid.org/0000-0003-1243-0596"},"institutions":[{"id":"https://openalex.org/I4210152119","display_name":"Jiangsu Province Hospital","ror":"https://ror.org/04py1g812","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152119"]},{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hua","raw_affiliation_strings":["First Affiliated Hospital of Nanjing Medical University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1243-0596","affiliations":[{"raw_affiliation_string":"First Affiliated Hospital of Nanjing Medical University, Nanjing, China","institution_ids":["https://openalex.org/I4210152119","https://openalex.org/I83519826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002791829","display_name":"Guangquan Zhou","orcid":"https://orcid.org/0000-0002-6467-3592"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-Quan Zhou","raw_affiliation_strings":["School of Biological Science and Medical Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6467-3592","affiliations":[{"raw_affiliation_string":"School of Biological Science and Medical Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589802","display_name":"Xiaopu He","orcid":"https://orcid.org/0009-0008-6078-7171"},"institutions":[{"id":"https://openalex.org/I4210152119","display_name":"Jiangsu Province Hospital","ror":"https://ror.org/04py1g812","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152119"]},{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopu He","raw_affiliation_strings":["First Affiliated Hospital of Nanjing Medical University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-6078-7171","affiliations":[{"raw_affiliation_string":"First Affiliated Hospital of Nanjing Medical University, Nanjing, China","institution_ids":["https://openalex.org/I4210152119","https://openalex.org/I83519826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100386630","display_name":"Shuo Li","orcid":"https://orcid.org/0000-0002-5184-3230"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuo Li","raw_affiliation_strings":["Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-5184-3230","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.817,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72921535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"27","issue":"10","first_page":"4816","last_page":"4827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9955000281333923,"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":0.9955000281333923,"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":0.9876999855041504,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.7351388931274414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5938103199005127},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.4664888381958008},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4546646475791931},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4536041021347046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.439213365316391},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.43739140033721924},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.41162675619125366},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41058456897735596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.37729576230049133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3285696506500244},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.18485185503959656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351388931274414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5938103199005127},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.4664888381958008},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4546646475791931},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4536041021347046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.439213365316391},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.43739140033721924},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.41162675619125366},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41058456897735596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37729576230049133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3285696506500244},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.18485185503959656},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003108","descriptor_name":"Colonic Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003108","descriptor_name":"Colonic Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003108","descriptor_name":"Colonic Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003113","descriptor_name":"Colonoscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3300288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3300288","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37796719","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37796719","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2158698691","https://openalex.org/W2194775991","https://openalex.org/W2560014990","https://openalex.org/W2611467245","https://openalex.org/W2802206159","https://openalex.org/W2916784321","https://openalex.org/W2930562923","https://openalex.org/W2949025161","https://openalex.org/W2955425717","https://openalex.org/W2962616725","https://openalex.org/W2963446712","https://openalex.org/W2963682501","https://openalex.org/W2972908565","https://openalex.org/W2989922082","https://openalex.org/W2994720379","https://openalex.org/W3008258421","https://openalex.org/W3024262873","https://openalex.org/W3028482357","https://openalex.org/W3034771037","https://openalex.org/W3035294798","https://openalex.org/W3037653264","https://openalex.org/W3082624664","https://openalex.org/W3087688677","https://openalex.org/W3095354604","https://openalex.org/W3103017164","https://openalex.org/W3103556460","https://openalex.org/W3107113572","https://openalex.org/W3151382581","https://openalex.org/W3171087525","https://openalex.org/W3182997145","https://openalex.org/W3183864931","https://openalex.org/W3202624106","https://openalex.org/W3213601271","https://openalex.org/W4210532786","https://openalex.org/W4210854902","https://openalex.org/W4223465214","https://openalex.org/W4283834068","https://openalex.org/W4287643567","https://openalex.org/W4297775537","https://openalex.org/W4303940405","https://openalex.org/W4312538597","https://openalex.org/W4362500858","https://openalex.org/W6602002561","https://openalex.org/W6737664043","https://openalex.org/W6738884980","https://openalex.org/W6762718338","https://openalex.org/W6780317961","https://openalex.org/W6785302134","https://openalex.org/W6796931752","https://openalex.org/W6797578546","https://openalex.org/W6941087484"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W2006750848"],"abstract_inverted_index":{"The":[0,108,151,174,207],"automatic":[1],"and":[2,24,35,55,103,120,136,190],"dependable":[3],"identification":[4],"of":[5,27,78,115,165,221],"colonic":[6],"disease":[7,21,43],"subtypes":[8],"by":[9,169,188],"colonoscopy":[10],"is":[11],"crucial.":[12],"Once":[13],"successful,":[14],"it":[15],"will":[16],"facilitate":[17],"clinically":[18],"more":[19,28],"in-depth":[20],"staging":[22],"analysis":[23],"the":[25,46,69,82,90,94,98,104,113,125,138,143,163,181,197],"formulation":[26],"tailored":[29],"treatment":[30],"plans.":[31],"However,":[32],"inter-class":[33],"confusion":[34],"brightness":[36,56],"imbalance":[37],"are":[38,194],"major":[39],"obstacles":[40],"to":[41,67,129,145,183],"colon":[42],"subtyping.":[44],"Notably,":[45],"Fourier-based":[47],"image":[48],"spectrum,":[49],"with":[50,217],"its":[51,65],"distinctive":[52],"frequency":[53,83,148],"features":[54,149],"insensitivity,":[57],"offers":[58],"a":[59,75],"potential":[60],"solution.":[61],"To":[62],"effectively":[63],"leverage":[64],"advantages":[66],"address":[68],"existing":[70],"challenges,":[71],"this":[72],"article":[73],"proposes":[74],"framework":[76],"capable":[77],"thorough":[79],"learning":[80],"in":[81,180],"domain":[84],"based":[85],"on":[86,196],"four":[87],"core":[88],"designs:":[89],"position":[91,109],"consistency":[92,110],"module,":[93,97],"high-frequency":[95,139],"self-supervised":[96],"complex":[99,153],"number":[100,154],"arithmetic":[101,155],"model,":[102],"feature":[105,175],"anti-aliasing":[106,176],"module.":[107],"module":[111,141,177],"enables":[112],"generation":[114],"spectra":[116],"that":[117,210],"preserve":[118],"local":[119],"positional":[121],"information":[122,167],"while":[123,161],"compressing":[124],"spectral":[126,159,185],"data":[127],"range":[128],"improve":[130,191],"training":[131,160],"stability.":[132],"Through":[133],"band":[134],"masking":[135],"supervision,":[137],"autoencoder":[140],"guides":[142],"network":[144],"learn":[146],"useful":[147],"selectively.":[150],"proposed":[152,212],"model":[156,182],"allows":[157],"direct":[158],"avoiding":[162],"loss":[164],"phase":[166],"caused":[168,187],"current":[170],"general-purpose":[171],"real-valued":[172],"operations.":[173],"embeds":[178],"filters":[179],"prevent":[184],"aliasing":[186],"down-sampling":[189],"performance.":[192],"Experiments":[193],"performed":[195],"collected":[198],"five-class":[199],"dataset,":[200],"which":[201],"contains":[202],"4591":[203],"colorectal":[204],"endoscopic":[205],"images.":[206],"outcomes":[208],"show":[209],"our":[211],"method":[213],"produces":[214],"state-of-the-art":[215],"results":[216],"an":[218],"accuracy":[219],"rate":[220],"89.82%.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
