{"id":"https://openalex.org/W3120414721","doi":"https://doi.org/10.1145/3431943.3432288","title":"Improved Traumatic Brain Injury Classification Approach Based on Deep Learning","display_name":"Improved Traumatic Brain Injury Classification Approach Based on Deep Learning","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3120414721","doi":"https://doi.org/10.1145/3431943.3432288","mag":"3120414721"},"language":"en","primary_location":{"id":"doi:10.1145/3431943.3432288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3431943.3432288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 9th International Conference on Bioinformatics and Biomedical Science","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/A5013378145","display_name":"Chao Gan","orcid":"https://orcid.org/0000-0002-4460-2279"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Gan","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068470874","display_name":"Dengdi Sun","orcid":"https://orcid.org/0000-0002-0164-7944"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengdi Sun","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085148642","display_name":"Kangli Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangli Qin","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102009463","display_name":"Haifeng Zhao","orcid":"https://orcid.org/0000-0002-5300-0683"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Zhao","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104076757","display_name":"Fang Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Xiao","raw_affiliation_strings":["The First Affliated Hospital of USTCDivision of Life Sciences and MedicineUniversity of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affliated Hospital of USTCDivision of Life Sciences and MedicineUniversity of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2349,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61473855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9779000282287598,"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/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9779000282287598,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9462000131607056,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/traumatic-brain-injury","display_name":"Traumatic brain injury","score":0.752295970916748},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7518770098686218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944050788879395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.648655891418457},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6340745687484741},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5867774486541748},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5306181907653809},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5222376585006714},{"id":"https://openalex.org/keywords/concussion","display_name":"Concussion","score":0.5073525309562683},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4871077537536621},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.4763363003730774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.474265456199646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46997445821762085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.353707879781723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2814061641693115},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20923149585723877},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.1934986710548401},{"id":"https://openalex.org/keywords/injury-prevention","display_name":"Injury prevention","score":0.09779706597328186},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.08165642619132996},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06918174028396606}],"concepts":[{"id":"https://openalex.org/C2781017439","wikidata":"https://www.wikidata.org/wiki/Q1995526","display_name":"Traumatic brain injury","level":2,"score":0.752295970916748},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7518770098686218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944050788879395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.648655891418457},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6340745687484741},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5867774486541748},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5306181907653809},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5222376585006714},{"id":"https://openalex.org/C2778426673","wikidata":"https://www.wikidata.org/wiki/Q326921","display_name":"Concussion","level":4,"score":0.5073525309562683},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4871077537536621},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.4763363003730774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.474265456199646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46997445821762085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.353707879781723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2814061641693115},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20923149585723877},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.1934986710548401},{"id":"https://openalex.org/C190385971","wikidata":"https://www.wikidata.org/wiki/Q373494","display_name":"Injury prevention","level":3,"score":0.09779706597328186},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.08165642619132996},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06918174028396606},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3431943.3432288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3431943.3432288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 9th International Conference on Bioinformatics and Biomedical Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1519178192","https://openalex.org/W2117539524","https://openalex.org/W2284539364","https://openalex.org/W2346062110","https://openalex.org/W2493683088","https://openalex.org/W2546410677","https://openalex.org/W2752782242"],"related_works":["https://openalex.org/W2580345678","https://openalex.org/W2903314763","https://openalex.org/W3176438653","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W4379875147","https://openalex.org/W3189091156","https://openalex.org/W3014041368","https://openalex.org/W4386087993","https://openalex.org/W4285815841"],"abstract_inverted_index":{"Despite":[0],"medical":[1,44],"imaging":[2,9,119],"diagnosis":[3,10,120],"has":[4,34],"made":[5],"significant":[6],"progress,":[7],"accurate":[8,182],"of":[11,22,60,78,95,122,150,169],"traumatic":[12],"brain":[13,28],"injury":[14],"(TBI)":[15],"still":[16],"remains":[17],"a":[18,61,69,89,92,117,199],"challenging":[19],"task":[20,168],"because":[21],"the":[23,49,58,76,96,109,148,166,176],"extremely":[24],"complex":[25],"and":[26,98,136,153],"diverse":[27],"images":[29],"in":[30,52,88],"TBI.":[31],"Deep":[32],"learning":[33,145],"been":[35],"proved":[36],"to":[37,146],"be":[38],"an":[39],"effective":[40],"way":[41],"for":[42,75,103],"boosting":[43],"image":[45,64,72],"analysis":[46],"performance.":[47],"However,":[48],"current":[50,193],"research":[51],"this":[53,113],"direction":[54],"is":[55,173,180],"limited":[56],"by":[57,108],"lack":[59],"comprehensive":[62],"TBI":[63,104,123],"dataset.":[65],"This":[66],"work":[67,194],"contributes":[68],"new":[70],"CT":[71,93],"dataset":[73],"suitable":[74],"detection":[77,105],"TBI,":[79],"which":[80,179],"includes":[81],"226":[82],"(TBI/normal:":[83],"175/51)":[84],"subjects,":[85],"6780":[86],"slices":[87],"hospital":[90],"with":[91,131],"scan":[94],"head":[97],"their":[99],"ground":[100],"truth":[101],"classifications":[102],"purpose":[106],"given":[107],"experienced":[110],"radiologist.":[111],"With":[112],"dataset,":[114],"we":[115,142],"propose":[116],"novel":[118],"model":[121,161],"based":[124],"on":[125,165],"convolutional":[126],"neural":[127,133],"network":[128,134],"(CNN)":[129],"combined":[130],"recurrent":[132],"(RNN)":[135],"embedded":[137],"squeeze-and-excitation":[138],"(SE)":[139],"module.":[140],"Besides,":[141],"introduce":[143],"transfer":[144],"avoid":[147],"problems":[149],"local":[151],"optimization":[152],"data":[154],"insufficiency.":[155],"Experimental":[156],"results":[157],"show":[158],"that":[159,191],"our":[160,192],"achieves":[162],"95.9%":[163],"accuracy":[164],"classification":[167,187],"predicting":[170],"whether":[171],"there":[172],"damage":[174],"at":[175],"slice":[177],"level,":[178],"more":[181],"than":[183],"other":[184],"commonly":[185],"used":[186],"networks.":[188],"We":[189],"believe":[190],"can":[195],"help":[196],"doctors":[197],"make":[198],"further":[200],"clinical":[201],"diagnosis.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}