{"id":"https://openalex.org/W2890429504","doi":"https://doi.org/10.1109/icip.2018.8451615","title":"A Fusion Algorithm: Fully Convolutional Networks and Student'S-<tex>$T$</tex> Mixture Model for Brain Magnetic Resonance Imaging Segmentation","display_name":"A Fusion Algorithm: Fully Convolutional Networks and Student'S-<tex>$T$</tex> Mixture Model for Brain Magnetic Resonance Imaging Segmentation","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890429504","doi":"https://doi.org/10.1109/icip.2018.8451615","mag":"2890429504"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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":"https://openalex.org/A5038674990","display_name":"Jiawei Lai","orcid":"https://orcid.org/0009-0005-1602-0828"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Lai","raw_affiliation_strings":["School of Information Science & Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005274186","display_name":"Hongqing Zhu","orcid":"https://orcid.org/0000-0002-2122-7066"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqing Zhu","raw_affiliation_strings":["School of Information Science & Engineering, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science & Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1598","last_page":"1602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9983000159263611,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7403740882873535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7341055870056152},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7114167809486389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061987519264221},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6238480806350708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6038506031036377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44445669651031494},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4379427433013916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3257852792739868}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7403740882873535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7341055870056152},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7114167809486389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061987519264221},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6238480806350708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6038506031036377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44445669651031494},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4379427433013916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3257852792739868}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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":13,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1987869189","https://openalex.org/W2018017287","https://openalex.org/W2125898777","https://openalex.org/W2167510172","https://openalex.org/W2332066482","https://openalex.org/W2395611524","https://openalex.org/W2515060107","https://openalex.org/W2528332074","https://openalex.org/W2553444198","https://openalex.org/W3104258355","https://openalex.org/W6639824700","https://openalex.org/W6684372118"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Deep":[0],"convolutional":[1,23],"neural":[2,24],"networks":[3],"(DCNN)":[4],"are":[5],"applied":[6,76],"widely":[7],"in":[8,43,96,106],"image":[9,107],"recognition":[10],"and":[11,27,49,102,124,127],"segmentation.":[12],"In":[13,84],"this":[14],"paper,":[15],"a":[16,63],"novel":[17],"algorithm":[18],"(U-SMM)":[19],"which":[20],"incorporates":[21],"the":[22,40,55,72,79,87,94,98,111,128,132],"network":[25],"U-net":[26,52,73,90],"modified":[28],"Student's-":[29],"t":[30],"mixture":[31],"model":[32],"(MSMM)":[33],"is":[34,74,91,114],"provided.":[35],"The":[36],"proposed":[37,112],"framework":[38,113],"considers":[39],"spatial":[41],"relationships":[42],"segmenting":[44],"medical":[45],"images":[46,119],"with":[47,120],"MSMM":[48,95],"then":[50,75],"uses":[51],"to":[53,77,92],"correct":[54],"mistake":[56],"labels":[57],"made":[58],"by":[59,70],"unsupervised":[60,125],"method.":[61],"Because":[62],"few":[64],"error-segmented":[65],"regions":[66],"may":[67],"be":[68],"caused":[69],"MSMM,":[71],"learn":[78],"features":[80],"of":[81,89,100,134],"these":[82],"regions.":[83],"our":[85,135],"method,":[86],"purpose":[88],"assist":[93],"improving":[97],"accuracy":[99],"segmentation":[101,108],"acquiring":[103],"rich":[104],"details":[105],"tasks.":[109],"Finally,":[110],"evaluated":[115],"on":[116],"real":[117],"MR":[118],"several":[121],"related":[122],"supervised":[123],"methods,":[126],"experimental":[129],"results":[130],"confirm":[131],"effectiveness":[133],"approach.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}