{"id":"https://openalex.org/W2793139317","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301978","title":"Brain MR image segmentation based on Gaussian filtering and improved FCM clustering algorithm","display_name":"Brain MR image segmentation based on Gaussian filtering and improved FCM clustering algorithm","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2793139317","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301978","mag":"2793139317"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8301978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5074489250","display_name":"Chunyuan Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"education","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunyuan Wan","raw_affiliation_strings":["School of Medical Information, Wannan Medical College, Wuhu, China"],"affiliations":[{"raw_affiliation_string":"School of Medical Information, Wannan Medical College, Wuhu, China","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101870865","display_name":"Mingquan Ye","orcid":"https://orcid.org/0000-0002-0237-4159"},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"education","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingquan Ye","raw_affiliation_strings":["School of Medical Information, Wannan Medical College, Wuhu, China"],"affiliations":[{"raw_affiliation_string":"School of Medical Information, Wannan Medical College, Wuhu, China","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046679639","display_name":"Chuanwen Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"education","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanwen Yao","raw_affiliation_strings":["School of Medical Information, Wannan Medical College, Wuhu, China"],"affiliations":[{"raw_affiliation_string":"School of Medical Information, Wannan Medical College, Wuhu, China","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011868782","display_name":"Changrong Wu","orcid":"https://orcid.org/0000-0002-8977-6694"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changrong Wu","raw_affiliation_strings":["School of Mathematics and Computer Science, Anhui Normal University, Wuhu, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Anhui Normal University, Wuhu, China","institution_ids":["https://openalex.org/I4472751"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074489250"],"corresponding_institution_ids":["https://openalex.org/I100357981"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.74253536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9958999752998352,"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":0.9958999752998352,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9864000082015991,"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":0.9606000185012817,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7328142523765564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7290163040161133},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6710643768310547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389021873474121},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6060224175453186},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5794501304626465},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5788462162017822},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5142404437065125},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5014002323150635},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.49726369976997375},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4782101809978485},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46079689264297485},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4204232096672058},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.419333279132843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3752661347389221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3494141697883606},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09174755215644836}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7328142523765564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7290163040161133},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6710643768310547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389021873474121},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6060224175453186},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5794501304626465},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5788462162017822},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5142404437065125},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5014002323150635},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.49726369976997375},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4782101809978485},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46079689264297485},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4204232096672058},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.419333279132843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3752661347389221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3494141697883606},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09174755215644836},{"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:10.1109/cisp-bmei.2017.8301978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":36,"referenced_works":["https://openalex.org/W423125776","https://openalex.org/W1570834090","https://openalex.org/W1605901174","https://openalex.org/W1609010287","https://openalex.org/W1957343200","https://openalex.org/W1964831800","https://openalex.org/W1968903639","https://openalex.org/W1992147426","https://openalex.org/W1998854384","https://openalex.org/W2005096862","https://openalex.org/W2007042673","https://openalex.org/W2015014337","https://openalex.org/W2017359830","https://openalex.org/W2024924062","https://openalex.org/W2054066520","https://openalex.org/W2065023930","https://openalex.org/W2070813603","https://openalex.org/W2075500778","https://openalex.org/W2081764024","https://openalex.org/W2108736578","https://openalex.org/W2110308833","https://openalex.org/W2115242586","https://openalex.org/W2169114713","https://openalex.org/W2203649114","https://openalex.org/W2292868198","https://openalex.org/W2321260791","https://openalex.org/W2351617685","https://openalex.org/W2411526630","https://openalex.org/W2444514730","https://openalex.org/W2507132196","https://openalex.org/W2510923581","https://openalex.org/W2532967678","https://openalex.org/W4285719527","https://openalex.org/W6697062800","https://openalex.org/W6715263767","https://openalex.org/W6728710926"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"Traditional":[0],"fuzzy":[1],"C-means":[2],"(FCM)":[3],"clustering":[4,40],"method":[5,29,45,92],"is":[6,42],"not":[7],"able":[8],"to":[9,49,63],"get":[10],"the":[11,18,53,60,90],"desired":[12],"results":[13,88],"of":[14,30,70],"brain":[15,19,31,71],"segmentation":[16,33],"in":[17],"magnetic":[20],"resonance":[21],"(MR)":[22],"image.":[23],"In":[24],"this":[25,66],"paper,":[26],"a":[27],"new":[28],"image":[32],"based":[34],"on":[35],"Gaussian":[36,47],"filtering":[37,48],"and":[38,52,76,95],"FCM":[39],"algorithm":[41],"proposed.":[43],"The":[44,86],"adopted":[46],"remove":[50],"noise":[51,78],"initial":[54],"cluster":[55],"center":[56],"was":[57,93],"determined":[58],"by":[59,81],"gray":[61],"histograms":[62],"obtain.":[64],"Using":[65],"method,":[67],"20":[68],"samples":[69],"MR":[72],"images":[73],"with":[74],"9%":[75],"5%":[77],"interference":[79],"provided":[80],"Brain":[82],"Web":[83],"were":[84],"segmented.":[85],"experimental":[87],"showed":[89],"proposed":[91],"accuracy":[94],"efficiency.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}