{"id":"https://openalex.org/W4402352428","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650765","title":"Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders","display_name":"Predict EGFR Mutation Status on CT Images Using Texture and Contour Enhanced Masked Autoencoders","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352428","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650765"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650765","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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":null,"display_name":"Yuping Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuping Peng","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061869604","display_name":"Xing Wu","orcid":"https://orcid.org/0000-0002-3352-6960"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wu","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044738979","display_name":"Zhongshi He","orcid":"https://orcid.org/0000-0002-6907-5743"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongshi He","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594356","display_name":"Chengliang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengliang Wang","raw_affiliation_strings":["Chongqing University,College of Computer Science,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Computer Science,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036415748","display_name":"Haidong Wang","orcid":"https://orcid.org/0000-0002-4614-5817"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210131174","display_name":"Southwest Hospital","ror":"https://ror.org/02jn36537","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210131174"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Wang","raw_affiliation_strings":["Southwest Hospital of Army Medical University,Department of Thoracic Surgery,Chongqing,China","Southwest Hospital of Army Medical University,Medical Big Data Center,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Hospital of Army Medical University,Department of Thoracic Surgery,Chongqing,China","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I4210131174"]},{"raw_affiliation_string":"Southwest Hospital of Army Medical University,Medical Big Data Center,Chongqing,China","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I4210131174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011130586","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-8265-9866"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210131174","display_name":"Southwest Hospital","ror":"https://ror.org/02jn36537","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210131174"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Southwest Hospital of Army Medical University,Medical Big Data Center,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Hospital of Army Medical University,Medical Big Data Center,Chongqing,China","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I4210131174"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079420932","display_name":"Hongqiang Wang","orcid":"https://orcid.org/0000-0002-6677-7010"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]},{"id":"https://openalex.org/I4210131174","display_name":"Southwest Hospital","ror":"https://ror.org/02jn36537","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210131174"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqian Wang","raw_affiliation_strings":["Southwest Hospital of Army Medical University,Department of Thoracic Surgery,Chongqing,China","Southwest Hospital of Army Medical University,Medical Big Data Center,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Hospital of Army Medical University,Department of Thoracic Surgery,Chongqing,China","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I4210131174"]},{"raw_affiliation_string":"Southwest Hospital of Army Medical University,Medical Big Data Center,Chongqing,China","institution_ids":["https://openalex.org/I151075929","https://openalex.org/I4210131174"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.3266775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9997000098228455,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.998199999332428,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9898999929428101,"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/texture","display_name":"Texture (cosmology)","score":0.6618342995643616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6606247425079346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6106187701225281},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5487556457519531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4914201498031616},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.4342935383319855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2506336271762848},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09078401327133179},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07171323895454407},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.058288902044296265}],"concepts":[{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6618342995643616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606247425079346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6106187701225281},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5487556457519531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4914201498031616},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.4342935383319855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2506336271762848},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09078401327133179},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07171323895454407},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.058288902044296265}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650765","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1986649315","https://openalex.org/W2194775991","https://openalex.org/W2283124435","https://openalex.org/W2584017349","https://openalex.org/W2584323939","https://openalex.org/W2887531179","https://openalex.org/W2896246551","https://openalex.org/W2901512344","https://openalex.org/W2903686982","https://openalex.org/W2915540738","https://openalex.org/W2943960805","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W3094502228","https://openalex.org/W3120273950","https://openalex.org/W3131413987","https://openalex.org/W3154846286","https://openalex.org/W3155187473","https://openalex.org/W3159451613","https://openalex.org/W3165134528","https://openalex.org/W4200028113","https://openalex.org/W4200121840","https://openalex.org/W4206373959","https://openalex.org/W4210700032","https://openalex.org/W4309001233","https://openalex.org/W4313156423","https://openalex.org/W4365601179","https://openalex.org/W4386025680","https://openalex.org/W4387211165","https://openalex.org/W6784333009","https://openalex.org/W6851433281"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0],"EGFR":[1,23,86,131],"mutation":[2,24,87],"status":[3,25,88],"significantly":[4],"influences":[5],"targeted":[6],"therapy":[7],"for":[8,42,85,129],"non-small":[9],"cell":[10],"lung":[11],"cancer.":[12],"In":[13],"recent":[14],"years,":[15],"there":[16],"has":[17],"been":[18],"significant":[19],"progress":[20],"in":[21,166],"non-invasive":[22],"prediction":[26],"studies":[27,35,63],"based":[28],"on":[29,38,56,101,117],"chest":[30,103],"CT":[31,104],"images.":[32],"However,":[33],"these":[34,62],"commonly":[36],"rely":[37],"extensive":[39],"private":[40],"data":[41,112],"training":[43],"rather":[44],"than":[45],"small-scale":[46,197],"publicly":[47],"available":[48],"dataset,":[49,199],"thereby":[50],"failing":[51],"to":[52,76,97,113,125,148,161,180],"overcome":[53],"the":[54,66,99,107,115,123,163,182,201],"dependency":[55,116],"high-cost":[57,118],"large-scale":[58],"annotated":[59,111,119],"data.":[60,120],"Additionally,":[61],"generally":[64],"neglect":[65],"texture":[67,136,168],"and":[68,137,156,169,186],"contour":[69,138,170],"features":[70,171],"with":[71],"strong":[72],"discriminative":[73],"power,":[74],"leading":[75],"insufficient":[77,110],"performance.":[78],"This":[79],"paper":[80],"proposes":[81],"a":[82,196],"two-stage":[83],"framework":[84],"prediction.":[89,132],"Initially,":[90],"we":[91,134],"utilize":[92],"self-supervised":[93],"Masked":[94],"Autoencoders":[95],"(MAE)":[96],"pre-train":[98],"encoder":[100,124],"in-domain":[102],"images,":[105],"overcoming":[106],"problem":[108],"of":[109],"reduce":[114],"Subsequently,":[121],"fine-tune":[122],"make":[126],"it":[127],"suitable":[128],"downstream":[130],"Simultaneously,":[133],"propose":[135],"enhanced":[139],"MAE":[140],"(TCMAE),":[141],"designing":[142],"Multi-layer":[143],"Features":[144],"Aggregation":[145],"Module":[146,159],"(MFAM)":[147],"fully":[149],"exploit":[150],"multi-layer":[151],"semantic":[152],"features,":[153],"introducing":[154],"Texture":[155],"Contour":[157],"Prediction":[158],"(TCPM)":[160],"enhance":[162],"model\u2019s":[164],"capability":[165],"extracting":[167],"through":[172],"multitask":[173],"learning,":[174],"utilizing":[175],"Modified":[176],"Spectral":[177],"Block":[178],"(MSB)":[179],"adjust":[181],"weighting":[183],"between":[184],"high":[185,206],"low":[187],"frequency":[188],"features.":[189],"Experiments":[190],"demonstrate":[191],"that":[192],"despite":[193],"using":[194],"only":[195],"public":[198],"NSCLC-Radiogenomics,":[200],"proposed":[202],"method":[203],"still":[204],"achieves":[205],"accuracy.":[207]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
