乐胖代购免代理版

{"id":"https://openalex.org/W2296753965","doi":"https://doi.org/10.1515/macro-2015-0008","title":"An Atlas Based Performance Evaluation of Inhomogeneity Correcting Effects","display_name":"An Atlas Based Performance Evaluation of Inhomogeneity Correcting Effects","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2296753965","doi":"https://doi.org/10.1515/macro-2015-0008","mag":"2296753965"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1515/macro-2015-0008","pdf_url":"https://content.sciendo.com/downloadpdf/journals/macro/1/1/article-p79.pdf","source":{"id":"https://openalex.org/S4210215974","display_name":"MACRo 2015","issn_l":"2247-0948","issn":["2247-0948"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://content.sciendo.com/downloadpdf/journals/macro/1/1/article-p79.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077845697","display_name":"L\u00e1szl\u00f3 Lefkovits","orcid":"https://orcid.org/0000-0002-4254-5880"},"institutions":[{"id":"https://openalex.org/I43886","display_name":"Sapientia Hungarian University of Transylvania","ror":"https://ror.org/04ahh4d11","country_code":"RO","type":"education","lineage":["https://openalex.org/I43886"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"L\u00e1szl\u00f3 Lefkovits","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Technical and Human Sciences, Sapientia University, Tg. Mure\u015f"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Technical and Human Sciences, Sapientia University, Tg. Mure\u015f","institution_ids":["https://openalex.org/I43886"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088487334","display_name":"Szid\u00f3nia Lefkovits","orcid":"https://orcid.org/0000-0002-7903-1111"},"institutions":[{"id":"https://openalex.org/I4210090415","display_name":"Universitatea Petru Maior din T\u00eergu Mure\u015f","ror":"https://ror.org/009maf963","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210090415"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Szid\u00f3nia Lefkovits","raw_affiliation_strings":["Department Informatics, Faculty of Science and Letters, \u201cPetru Maior\u201d University, Tg. Mure\u015f"],"affiliations":[{"raw_affiliation_string":"Department Informatics, Faculty of Science and Letters, \u201cPetru Maior\u201d University, Tg. Mure\u015f","institution_ids":["https://openalex.org/I4210090415"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108186995","display_name":"Mircea-Florin Vaida","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mircea-Florin Vaida","raw_affiliation_strings":["Department of Communications, Technical University of Cluj-Napoca"],"affiliations":[{"raw_affiliation_string":"Department of Communications, Technical University of Cluj-Napoca","institution_ids":["https://openalex.org/I158333966"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.202,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.334877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":76},"biblio":{"volume":"1","issue":"1","first_page":"79","last_page":"90"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997,"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":0.9997,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9935,"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":0.9879,"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/intensity","display_name":"Intensity","score":0.6963305}],"concepts":[{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.6963305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64720833},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5951833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.50537497},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.472654},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46956658},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.45604494},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.42174113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38500518},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38259256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34037343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32174176},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1636867},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.144544},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1515/macro-2015-0008","pdf_url":"https://content.sciendo.com/downloadpdf/journals/macro/1/1/article-p79.pdf","source":{"id":"https://openalex.org/S4210215974","display_name":"MACRo 2015","issn_l":"2247-0948","issn":["2247-0948"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1515/macro-2015-0008","pdf_url":"https://content.sciendo.com/downloadpdf/journals/macro/1/1/article-p79.pdf","source":{"id":"https://openalex.org/S4210215974","display_name":"MACRo 2015","issn_l":"2247-0948","issn":["2247-0948"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W1932846497","https://openalex.org/W1978764930","https://openalex.org/W2022495783","https://openalex.org/W2041796053","https://openalex.org/W2092495060","https://openalex.org/W2114487471","https://openalex.org/W2117340355","https://openalex.org/W2117530999","https://openalex.org/W2129571271","https://openalex.org/W2132116135","https://openalex.org/W2134941041","https://openalex.org/W2151050383","https://openalex.org/W2157848968","https://openalex.org/W2164225814"],"related_works":["https://openalex.org/W4388110928","https://openalex.org/W4312412183","https://openalex.org/W4224807364","https://openalex.org/W3192757256","https://openalex.org/W2945382830","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W2382432689","https://openalex.org/W1980197432","https://openalex.org/W1483228865"],"abstract_inverted_index":{"Abstract":[0],"In":[1,14],"automated":[2],"image":[3],"processing":[4],"the":[5,22,62,73,88,93,103],"intensity":[6,25,50,67],"inhomogeneity":[7,26,51,68],"of":[8,24,61,75],"MR":[9],"images":[10,100],"causes":[11],"significant":[12],"errors.":[13],"this":[15],"work":[16],"we":[17],"analyze":[18],"three":[19,77],"algorithms":[20,78],"with":[21,49,66,79],"purpose":[23],"correction.":[27],"The":[28,83],"well-known":[29],"N3":[30],"algorithm":[31],"is":[32,45],"compared":[33,57],"to":[34,47,58],"two":[35],"more":[36],"recent":[37],"approaches:":[38],"a":[39],"modified":[40],"level":[41],"set":[42],"method,":[43],"which":[44],"able":[46],"deal":[48],"and":[52,91],"it":[53],"is,":[54],"as":[55],"well,":[56],"an":[59],"adaptation":[60],"fuzzy":[63],"c-means":[64],"clustering":[65],"compensation":[69],"techniques.":[70],"We":[71,96],"evaluate":[72],"outcomes":[74],"these":[76],"quantitative":[80],"performance":[81],"measures.":[82],"measurements":[84],"are":[85],"done":[86],"on":[87,92],"bias":[89],"fields":[90],"segmented":[94],"images.":[95],"consider":[97],"normal":[98],"brain":[99],"obtained":[101],"from":[102],"Montreal":[104],"Simulated":[105],"Brain":[106],"Database.":[107]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2296753965","counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-01-21T08:48:25.968384","created_date":"2016-06-24"}