{"id":"https://openalex.org/W4366380939","doi":"https://doi.org/10.1145/3584376.3584555","title":"Research on Lightweight Intervertebral Disc Segmentation Method for Spine Magnetic Resonance Images","display_name":"Research on Lightweight Intervertebral Disc Segmentation Method for Spine Magnetic Resonance Images","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366380939","doi":"https://doi.org/10.1145/3584376.3584555"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584555","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3584376.3584555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5020185165","display_name":"Xianda Li","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianda Li","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350202","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-2716-449X"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, China and \rZhongshan Institute of Changchun University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, China and \rZhongshan Institute of Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102976591","display_name":"Zhiqing Wen","orcid":"https://orcid.org/0000-0003-0144-5733"},"institutions":[{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"James Zhiqing Wen","raw_affiliation_strings":["Intelligent Robot Engineering Research Center, Ji Hua Laboratory, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Robot Engineering Research Center, Ji Hua Laboratory, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I4210089285"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072132943","display_name":"Huiyuan Luo","orcid":"https://orcid.org/0000-0001-7855-9902"},"institutions":[{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyuan Luo","raw_affiliation_strings":["Intelligent Robot Engineering Research Center, Ji Hua Laboratory, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Robot Engineering Research Center, Ji Hua Laboratory, China","institution_ids":["https://openalex.org/I4210144102","https://openalex.org/I4210089285"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086080821","display_name":"Siyuan He","orcid":"https://orcid.org/0000-0001-8072-9632"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan He","raw_affiliation_strings":["School of Computer Science and Technology, Changchun University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Changchun University of Science and Technology, China","institution_ids":["https://openalex.org/I106645853"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020185165"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16008843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1004","last_page":"1009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9925000071525574,"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9677000045776367,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7981635332107544},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7570538520812988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7465384006500244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6186271905899048},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6031876802444458},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5264770984649658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49736693501472473},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.470841646194458},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46610793471336365},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.45261910557746887},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4224329888820648},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15836554765701294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11470943689346313}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7981635332107544},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7570538520812988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465384006500244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6186271905899048},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6031876802444458},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5264770984649658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49736693501472473},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.470841646194458},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46610793471336365},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.45261910557746887},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4224329888820648},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15836554765701294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11470943689346313},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584555","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3584376.3584555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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":10,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W1903029394","https://openalex.org/W2531409750","https://openalex.org/W2883780447","https://openalex.org/W3010616503","https://openalex.org/W3027763298","https://openalex.org/W3087644100","https://openalex.org/W3199868336","https://openalex.org/W6603101929","https://openalex.org/W6605417109"],"related_works":["https://openalex.org/W1631910785","https://openalex.org/W1669643531","https://openalex.org/W1507266234","https://openalex.org/W2069711651","https://openalex.org/W2117664411","https://openalex.org/W2117933325","https://openalex.org/W1967061043","https://openalex.org/W2739874619","https://openalex.org/W1700740617","https://openalex.org/W3197341992"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,74,102,107],"problem":[3],"of":[4,66,71,77,104,106],"conflicting":[5],"segmentation":[6,18,24,96,111],"accuracy":[7],"and":[8,52,68,123],"model":[9,108],"parametric":[10],"numbers":[11],"in":[12],"many":[13,92],"lumbar":[14,29,78],"MR":[15,30,79],"image":[16,31,95],"disc":[17,32],"methods,":[19,97],"we":[20],"propose":[21],"a":[22,38,43,53,69],"lightweight":[23,39,120],"pipeline":[25],"named":[26],"Lite-snake":[27],"for":[28],"instances.":[33],"We":[34],"use":[35],"Nanodet":[36],"as":[37],"target":[40],"detection":[41],"model,":[42],"parallel":[44],"feature":[45],"aggregation":[46],"module":[47],"to":[48,57,91,117,119],"aggregate":[49],"multi-scale":[50],"features,":[51],"depth-separable":[54],"cyclic":[55],"convolution":[56],"reconstruct":[58],"deep":[59],"snake.":[60],"The":[61,85],"method":[62,99],"achieves":[63],"an":[64],"IoU":[65],"79.49%":[67],"DSC":[70],"88.50%":[72],"on":[73],"test":[75],"set":[76],"images":[80],"with":[81],"only":[82],"5,670,000":[83],"parameters.":[84],"experimental":[86],"results":[87],"show":[88],"that":[89],"compared":[90],"current":[93],"deep-learning":[94],"our":[98],"dramatically":[100],"reduces":[101],"number":[103],"parameters":[105],"while":[109],"ensuring":[110],"accuracy.":[112],"Therefore":[113],"it":[114],"is":[115],"easy":[116],"deploy":[118],"mobile":[121],"devices":[122],"has":[124],"good":[125],"application":[126],"prospects.":[127]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}