{"id":"https://openalex.org/W4416923009","doi":"https://doi.org/10.1109/iccais67508.2025.11262101","title":"Tuberculosis Lesion Classification and Detection Method Guided by Attention Mechanism","display_name":"Tuberculosis Lesion Classification and Detection Method Guided by Attention Mechanism","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W4416923009","doi":"https://doi.org/10.1109/iccais67508.2025.11262101"},"language":null,"primary_location":{"id":"doi:10.1109/iccais67508.2025.11262101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais67508.2025.11262101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5017614425","display_name":"Mingfeng Lu","orcid":"https://orcid.org/0000-0003-0810-822X"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingling Lu","raw_affiliation_strings":["School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101198712","display_name":"Haojie Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Xie","raw_affiliation_strings":["School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038564706","display_name":"Benlian Xu","orcid":"https://orcid.org/0000-0002-6709-6583"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benlian Xu","raw_affiliation_strings":["School of Electronic and Information, Suzhou University of Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Suzhou University of Technology,Suzhou,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002660247","display_name":"Mingming Wang","orcid":"https://orcid.org/0000-0001-6420-203X"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Wang","raw_affiliation_strings":["School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375073","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-9031-6433"},"institutions":[{"id":"https://openalex.org/I4210165229","display_name":"The Fifth People\u2019s Hospital of Suzhou","ror":"https://ror.org/05jy72h47","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210165229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["The Fifth People&#x0027;s Hospital of Suzhou,Department of Radiology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Fifth People&#x0027;s Hospital of Suzhou,Department of Radiology,Suzhou,China","institution_ids":["https://openalex.org/I4210165229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037138538","display_name":"Jinliang Cong","orcid":"https://orcid.org/0000-0003-4249-7003"},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinliang Cong","raw_affiliation_strings":["School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Automatic Engineering, Suzhou University of Technology,Suzhou,China","institution_ids":["https://openalex.org/I308837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57507295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.6449999809265137,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.6449999809265137,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.08659999817609787,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.04340000078082085,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6330000162124634},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5278000235557556},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5080999732017517},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.47200000286102295},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"Tuberculosis","score":0.46380001306533813},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4505999982357025},{"id":"https://openalex.org/keywords/pulmonary-tuberculosis","display_name":"Pulmonary tuberculosis","score":0.42080000042915344},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.37560001015663147}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6330000162124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5841000080108643},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5278000235557556},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5080999732017517},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.47200000286102295},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4706000089645386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4684000015258789},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.46380001306533813},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C2908628106","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Pulmonary tuberculosis","level":3,"score":0.42080000042915344},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.29429998993873596},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.26919999718666077},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais67508.2025.11262101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais67508.2025.11262101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3647464395","display_name":null,"funder_award_id":"SYG202351,ZKYY2447","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2076063813","https://openalex.org/W2584017349","https://openalex.org/W2618530766","https://openalex.org/W2884585870","https://openalex.org/W2899279931","https://openalex.org/W2917143046","https://openalex.org/W2978788315","https://openalex.org/W4313598797","https://openalex.org/W4390690775","https://openalex.org/W4404877086","https://openalex.org/W4405732037","https://openalex.org/W4407837233","https://openalex.org/W4410886931"],"related_works":[],"abstract_inverted_index":{"The":[0,78,176],"precise":[1,80,166],"classification":[2,45,55,81,167,178],"of":[3,14,22,29,40,47,90,107,112,118,138,159,168,172,180],"the":[4,12,26,30,34,44,48,54,105,115,119,125,130,136,145,156,181],"detected":[5],"lesions":[6,15,71,84],"can":[7],"help":[8],"doctors":[9],"further":[10,134,185],"determine":[11],"type":[13],"and":[16,37,67,121,140,189],"implement":[17],"treatment":[18,28],"plans,":[19],"which":[20],"is":[21,51,63,101,148],"great":[23],"importance":[24],"for":[25,83],"later":[27],"disease.":[31],"Due":[32],"to":[33,58,65,103,127,154],"diverse":[35],"morphology":[36],"complex":[38],"structure":[39],"pulmonary":[41,69,173],"tuberculosis":[42,70,174],"lesions,":[43],"accuracy":[46],"general":[49],"network":[50,82,113,126],"low":[52],"in":[53,88],"process.":[56],"Aimed":[57],"these":[59],"problems,":[60],"a":[61,74,93,165],"method":[62,183],"proposed":[64,102,182],"classify":[66],"detect":[68],"guided":[72],"by":[73],"normalized":[75],"attention":[76,116],"mechanism.":[77],"NA-YOLO":[79],"was":[85,184],"constructed.":[86],"Firstly,":[87],"terms":[89,111],"data":[91,98],"augmentation,":[92],"multi-scale":[94],"image":[95],"label":[96],"synchronous":[97],"augmentation":[99],"scheme":[100],"balance":[104],"number":[106],"various":[108],"lesions.":[109,175],"In":[110],"construction,":[114],"modules":[117],"channel":[120],"space":[122],"branches":[123],"guide":[124],"focus":[128],"on":[129],"lesion":[131],"feature":[132],"areas,":[133],"enhancing":[135],"extraction":[137],"inter-channel":[139],"local":[141],"spatial":[142],"information.":[143],"Secondly,":[144],"loss":[146],"function":[147],"optimized":[149],"through":[150,187],"Scylla-IoU":[151],"Loss":[152],"Function(SIoU)":[153],"reduce":[155],"total":[157],"degree":[158],"freedom":[160],"between":[161],"images.":[162],"Ultimately,":[163],"achieving":[164],"four":[169],"common":[170],"types":[171],"high-precision":[177],"performance":[179],"verified":[186],"ablation":[188],"comparative":[190],"experiments.":[191]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-12-02T00:00:00"}
