{"id":"https://openalex.org/W2996768300","doi":"https://doi.org/10.1109/access.2020.2963926","title":"Deformation and Refined Features Based Lesion Detection on Chest X-Ray","display_name":"Deformation and Refined Features Based Lesion Detection on Chest X-Ray","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2996768300","doi":"https://doi.org/10.1109/access.2020.2963926","mag":"2996768300"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2963926","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2963926","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949513.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949513.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029512731","display_name":"Ce Li","orcid":"https://orcid.org/0000-0002-4627-6112"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4627-6112","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366146","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0003-2322-9644"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2322-9644","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044668212","display_name":"Shaoyi Du","orcid":"https://orcid.org/0000-0002-7092-0596"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Du","raw_affiliation_strings":["School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7092-0596","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020301327","display_name":"Zhiqiang Tian","orcid":"https://orcid.org/0000-0002-3669-3748"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tian","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3669-3748","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5745,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69386343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"14675","last_page":"14689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"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":0.9994000196456909,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9973999857902527,"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/T10862","display_name":"AI in cancer detection","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008638381958008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6980734467506409},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6600339412689209},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6377900838851929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5754053592681885},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5708451271057129},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5694916844367981},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5172110795974731},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5075575113296509},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.456208199262619},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.4490540325641632},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42103564739227295},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4048399031162262},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3814547061920166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25571590662002563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21355345845222473},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10253295302391052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008638381958008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6980734467506409},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6600339412689209},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6377900838851929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5754053592681885},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5708451271057129},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5694916844367981},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5172110795974731},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5075575113296509},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.456208199262619},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.4490540325641632},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42103564739227295},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4048399031162262},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3814547061920166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25571590662002563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21355345845222473},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10253295302391052},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2963926","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2963926","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949513.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/441673","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/441673","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},{"id":"pmh:oai:doaj.org/article:335432738e5d49a0a12312df0d0f3d6a","is_oa":true,"landing_page_url":"https://doaj.org/article/335432738e5d49a0a12312df0d0f3d6a","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":"IEEE Access, Vol 8, Pp 14675-14689 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2963926","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2963926","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08949513.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5920518074","display_name":null,"funder_award_id":"61573274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8178970076","display_name":null,"funder_award_id":"61876148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G833113359","display_name":"\u9762\u5411\u53d8\u6362\u57df\u7684\u89c6\u6ce8\u610f\u6df1\u5ea6\u5b66\u4e60\u611f\u77e5\u8ba1\u7b97\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"61866022","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2996768300.pdf","grobid_xml":"https://content.openalex.org/works/W2996768300.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1570613334","https://openalex.org/W2010382953","https://openalex.org/W2133533561","https://openalex.org/W2194775991","https://openalex.org/W2295070120","https://openalex.org/W2304758233","https://openalex.org/W2346062110","https://openalex.org/W2407521645","https://openalex.org/W2471370390","https://openalex.org/W2515006352","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2581082771","https://openalex.org/W2589536696","https://openalex.org/W2592929672","https://openalex.org/W2601564443","https://openalex.org/W2605344185","https://openalex.org/W2611650229","https://openalex.org/W2775397671","https://openalex.org/W2777186991","https://openalex.org/W2788633781","https://openalex.org/W2803760365","https://openalex.org/W2888397986","https://openalex.org/W2898126066","https://openalex.org/W2906302663","https://openalex.org/W2908201961","https://openalex.org/W2918598741","https://openalex.org/W2928248179","https://openalex.org/W2950800384","https://openalex.org/W2953273118","https://openalex.org/W2962850830","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963516811","https://openalex.org/W2963777800","https://openalex.org/W2972813610","https://openalex.org/W2980444207","https://openalex.org/W3101156210","https://openalex.org/W4293584584","https://openalex.org/W4300485340","https://openalex.org/W6697792647","https://openalex.org/W6746693533"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W2810679507","https://openalex.org/W2964954556","https://openalex.org/W3019910406","https://openalex.org/W2160692033"],"abstract_inverted_index":{"Automatic":[0],"and":[1,57,86,130,152,194,214,223,233],"accurate":[2],"detection":[3,73,91,202],"of":[4,40,48,60,65,70,114,141],"chest":[5,14,61,94,119],"X-ray":[6,15,62,95],"lesion":[7,72,90,169],"is":[8,75,107,176,207],"a":[9,185,208,240],"challenging":[10],"task.":[11],"In":[12],"the":[13,17,33,46,55,68,71,84,93,100,111,115,118,124,127,138,142,145,150,158,164,168,172,174,179,190,196,224],"image,":[16],"lesions":[18,116],"are":[19,133,229],"shown":[20],"with":[21,80,103,149,184],"blurred":[22],"boundary":[23],"contours,":[24],"different":[25],"sizes,":[26],"variable":[27],"shapes,":[28],"uneven":[29],"density,":[30],"etc.":[31],"Besides,":[32],"deep":[34],"convolutional":[35],"neural":[36],"network":[37,155],"(CNN)":[38],"consists":[39],"traditional":[41],"convolution":[42,102],"units,":[43],"which":[44,135,162],"has":[45],"limitations":[47],"rectangular":[49],"sampling.":[50],"The":[51,204,236],"CNN":[52],"extracts":[53],"difficultly":[54],"deformation":[56,85,112],"refined":[58,87,125],"features":[59,88,113,129,132],"lesions.":[63],"Because":[64],"these":[66],"factors,":[67],"accuracy":[69],"algorithm":[74,96,238],"not":[76],"high.":[77],"To":[78],"deal":[79],"problems,":[81],"we":[82],"propose":[83],"based":[89],"on":[92,117],"called":[97],"DRCXNet.":[98],"Firstly,":[99],"deformable":[101,159],"amplitude":[104],"modulation":[105],"(AMDCN)":[106],"built":[108],"to":[109,122,156,167],"extract":[110],"X-ray.":[120],"Secondly,":[121],"obtain":[123],"feature,":[126],"global":[128],"local":[131],"fused,":[134],"can":[136],"enrich":[137],"feature":[139],"space":[140],"lesion.":[143],"Thirdly,":[144],"pooling":[146,160],"layer":[147],"combines":[148],"AMDCN":[151],"region":[153],"proposal":[154],"establish":[157],"layer,":[161],"enhances":[163],"model's":[165],"sensitivity":[166],"location.":[170],"During":[171],"training,":[173],"model":[175],"optimized":[177],"by":[178],"improved":[180],"regression":[181],"loss":[182],"function":[183],"gradient":[186],"control":[187],"factor.":[188],"On":[189],"public":[191],"datasets":[192],"RSNA":[193],"ChestX-ray8,":[195],"proposed":[197,205,237],"method":[198,206],"outperforms":[199],"seven":[200],"popular":[201],"algorithms.":[203],"significant":[209],"performance":[210],"in":[211],"both":[212],"qualitative":[213],"quantitative":[215],"experiments.":[216],"Its":[217],"comprehensive":[218],"evaluation":[219],"scores,":[220],"sensitivity,":[221],"precision,":[222],"mean":[225],"dice":[226],"similarity":[227],"coefficient":[228],"0.866,":[230],"0.914,":[231],"0.836":[232],"0.859":[234],"respectively.":[235],"achieves":[239],"very":[241],"satisfactory":[242],"result.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
