{"id":"https://openalex.org/W4406328389","doi":"https://doi.org/10.1145/3706890.3706989","title":"A Generalized Segmentation Method in Nasopharyngeal Cancer MRI Images Based on Multidimensional Attention Mechanism and Deep Learning","display_name":"A Generalized Segmentation Method in Nasopharyngeal Cancer MRI Images Based on Multidimensional Attention Mechanism and Deep Learning","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328389","doi":"https://doi.org/10.1145/3706890.3706989"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine 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/A5089607179","display_name":"Manman Cui","orcid":"https://orcid.org/0000-0001-7245-7737"},"institutions":[{"id":"https://openalex.org/I117532281","display_name":"Guangzhou University of Chinese Medicine","ror":"https://ror.org/03qb7bg95","country_code":"CN","type":"education","lineage":["https://openalex.org/I117532281"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Manman Cui","raw_affiliation_strings":["School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-7245-7737","affiliations":[{"raw_affiliation_string":"School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I117532281"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yuxuan Chen","orcid":"https://orcid.org/0009-0001-0062-9648"},"institutions":[{"id":"https://openalex.org/I117532281","display_name":"Guangzhou University of Chinese Medicine","ror":"https://ror.org/03qb7bg95","country_code":"CN","type":"education","lineage":["https://openalex.org/I117532281"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Chen","raw_affiliation_strings":["School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0001-0062-9648","affiliations":[{"raw_affiliation_string":"School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I117532281"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089607179"],"corresponding_institution_ids":["https://openalex.org/I117532281"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29285403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"579","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9975000023841858,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9958000183105469,"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/segmentation","display_name":"Segmentation","score":0.6753151416778564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6744539141654968},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6724587678909302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6302211880683899},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4771710932254791},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.459117591381073},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45209604501724243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4174797534942627},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09223777055740356}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6753151416778564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6744539141654968},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6724587678909302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302211880683899},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4771710932254791},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.459117591381073},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45209604501724243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4174797534942627},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09223777055740356},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine 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":11,"referenced_works":["https://openalex.org/W2272984102","https://openalex.org/W2412782625","https://openalex.org/W2592929672","https://openalex.org/W2613435286","https://openalex.org/W2752782242","https://openalex.org/W2891511539","https://openalex.org/W2963284331","https://openalex.org/W3088257970","https://openalex.org/W3096812112","https://openalex.org/W4211017340","https://openalex.org/W6693972512"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W4375867731","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,30,65,79,109],"of":[2,48,62,66,96],"the":[3,16,24,32,43,49,60,63,92,135,139],"Nasopharyngeal":[4],"carcinoma":[5],"(NPC)":[6],"magnetic":[7],"resonance":[8],"images":[9],"(MRIs)":[10],"is":[11,39],"vital":[12],"and":[13,19,53,86,94,106,119,127,142,149,155],"essential":[14],"for":[15,160],"effective":[17],"radiotherapy":[18],"improved":[20],"patient":[21],"prognosis.":[22],"On":[23],"one":[25],"hand,":[26,45],"manual":[27],"NPC":[28,50,54,67,97],"image":[29],"remains":[31],"main":[33],"method":[34,80,137],"in":[35],"clinical":[36,161],"practices":[37],"but":[38],"very":[40],"time-consuming;":[41],"on":[42,59],"other":[44],"great":[46],"variations":[47],"lesion":[51,98],"sizes":[52],"shapes":[55],"pose":[56],"significant":[57],"challenges":[58],"design":[61],"generalized":[64,78,108],"MRI":[68],"images.":[69],"To":[70],"tackle":[71],"this":[72,74],"problem,":[73],"work":[75,101],"proposes":[76],"a":[77,82,107,120,157],"leveraging":[81],"multidimensional":[83,121],"attention":[84,122],"mechanism":[85],"deep":[87],"learning":[88],"techniques":[89,154],"to":[90,124],"enhance":[91],"accuracy":[93,141],"efficiency":[95],"segmentation.":[99],"This":[100],"integrates":[102],"advanced":[103],"data":[104],"preprocessing":[105],"network":[110],"(including":[111],"an":[112],"optimized":[113],"encoder-decoder":[114],"architecture":[115],"with":[116],"residual":[117],"connections":[118],"mechanism)":[123],"capture":[125],"global":[126],"local":[128],"features":[129],"effectively.":[130],"Simulation":[131],"results":[132],"verify":[133],"that":[134],"proposed":[136],"improves":[138],"pixel":[140],"intersection":[143],"over":[144],"union":[145],"(IoU)":[146],"by":[147],"37.95%":[148],"31.75%,":[150],"respectively,":[151],"outperforming":[152],"existing":[153],"offering":[156],"promising":[158],"tool":[159],"applications.":[162]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}