{"id":"https://openalex.org/W3013608007","doi":"https://doi.org/10.1109/access.2020.2982197","title":"Study on MRI Medical Image Segmentation Technology Based on CNN-CRF Model","display_name":"Study on MRI Medical Image Segmentation Technology Based on CNN-CRF Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013608007","doi":"https://doi.org/10.1109/access.2020.2982197","mag":"3013608007"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2982197","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982197","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044853.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044853.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102765761","display_name":"Feng Nai-qin","orcid":"https://orcid.org/0000-0002-4093-9739"},"institutions":[{"id":"https://openalex.org/I4210163873","display_name":"Zhengzhou University of Industrial Technology","ror":"https://ror.org/05es8as59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163873"]},{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naiqin Feng","raw_affiliation_strings":["College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","School of Information Engineering, Zhengzhou University of Industrial Technology, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4093-9739","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China","institution_ids":["https://openalex.org/I75955062"]},{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University of Industrial Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210163873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053809618","display_name":"Xiuqin Geng","orcid":"https://orcid.org/0000-0001-7364-9503"},"institutions":[{"id":"https://openalex.org/I4210152095","display_name":"Xinxiang Central Hospital","ror":"https://ror.org/006zn6z18","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210152095"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqin Geng","raw_affiliation_strings":["Endocrine Department, Xinxiang Central Hospital, Xinxiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Endocrine Department, Xinxiang Central Hospital, Xinxiang, China","institution_ids":["https://openalex.org/I4210152095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009421510","display_name":"Lijuan Qin","orcid":"https://orcid.org/0000-0002-8576-2762"},"institutions":[{"id":"https://openalex.org/I4210163873","display_name":"Zhengzhou University of Industrial Technology","ror":"https://ror.org/05es8as59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163873"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijuan Qin","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University of Industrial Technology, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University of Industrial Technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210163873"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5278,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89862868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"60505","last_page":"60514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9991999864578247,"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":0.9991999864578247,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.996999979019165,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8089200854301453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7967071533203125},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7887648344039917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7523382306098938},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.751065194606781},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7410478591918945},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7088748812675476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6318017244338989},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6124667525291443},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.5405318737030029},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.528690755367279},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5116026997566223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39897024631500244}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8089200854301453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7967071533203125},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7887648344039917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523382306098938},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.751065194606781},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7410478591918945},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7088748812675476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6318017244338989},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6124667525291443},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.5405318737030029},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.528690755367279},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5116026997566223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39897024631500244}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2982197","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982197","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044853.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cc3cd9c6b5774afd95f023c63abc3908","is_oa":true,"landing_page_url":"https://doaj.org/article/cc3cd9c6b5774afd95f023c63abc3908","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 60505-60514 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2982197","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982197","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044853.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013608007.pdf","grobid_xml":"https://content.openalex.org/works/W3013608007.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1797795720","https://openalex.org/W2044097773","https://openalex.org/W2093400823","https://openalex.org/W2307535535","https://openalex.org/W2310992461","https://openalex.org/W2345003174","https://openalex.org/W2346062110","https://openalex.org/W2582955413","https://openalex.org/W2601707599","https://openalex.org/W2621235041","https://openalex.org/W2624616278","https://openalex.org/W2787890383","https://openalex.org/W2790729248","https://openalex.org/W2799103635","https://openalex.org/W2883069276","https://openalex.org/W2903545025","https://openalex.org/W2941593869","https://openalex.org/W2954724970","https://openalex.org/W2961950085","https://openalex.org/W2965080476","https://openalex.org/W2980309647","https://openalex.org/W3103323619","https://openalex.org/W6638185267","https://openalex.org/W6674012025","https://openalex.org/W6732740298","https://openalex.org/W6765389845"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W50079190","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W2511246383","https://openalex.org/W3108423214","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2184553228"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,39,116,148],"is":[2,31,53,64,104,136],"an":[3],"important":[4],"technique":[5],"for":[6,41,106,138],"segmenting":[7],"images":[8],"without":[9],"overlapping":[10],"each":[11],"other":[12],"and":[13,38,59,118,122,150,154],"having":[14],"their":[15],"own":[16],"features.":[17],"It":[18],"has":[19],"been":[20],"rapidly":[21],"developed":[22],"in":[23,128,160],"the":[24,48,56,67,80,91,99,112,115,119,123,129,134,144,147,151,155,161],"field":[25,102],"of":[26,125,157],"medical":[27,42],"imaging,":[28],"but":[29],"there":[30],"currently":[32],"a":[33,60,76],"difference":[34],"between":[35,94,114,146],"classification":[36],"accuracy":[37,40,117,149],"image":[43],"segmentation.":[44],"In":[45],"this":[46],"paper,":[47],"deep":[49,81],"convolutional":[50,82,131,163],"neural":[51,83],"network":[52,120,152],"combined":[54],"with":[55,66],"cascading":[57,77],"structure,":[58],"uniform":[61],"learning":[62],"framework":[63,86],"established":[65],"use":[68],"conditional":[69,100],"random":[70,101],"field.":[71],"This":[72],"paper":[73],"first":[74],"adds":[75],"structure":[78],"under":[79],"networks":[84],"(DCNN)":[85],"to":[87],"more":[88],"effectively":[89,110,142],"simulate":[90],"direct":[92],"dependencies":[93],"spatial":[95],"closure":[96],"tags.":[97],"Secondly,":[98,133],"(CRF)":[103],"used":[105,137],"post-segmentation":[107,139],"processing,":[108,140],"which":[109,141],"solves":[111,143],"contradiction":[113,145],"depth":[121,153],"number":[124,156],"pooling":[126,158],"times":[127,159],"traditional":[130,162],"network.":[132,164],"CRF":[135]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
