{"id":"https://openalex.org/W2535907575","doi":"https://doi.org/10.1109/acpr.2011.6166535","title":"Designing and selecting features for MR image segmentation","display_name":"Designing and selecting features for MR image segmentation","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2535907575","doi":"https://doi.org/10.1109/acpr.2011.6166535","mag":"2535907575"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5069606416","display_name":"Meijuan Yang","orcid":"https://orcid.org/0000-0002-9277-7751"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meijuan Yang","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, China","Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, CN"],"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740143","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0002-0019-4197"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, CN"],"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054075262","display_name":"Pingkun Yan","orcid":"https://orcid.org/0000-0002-9779-2141"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingkun Yan","raw_affiliation_strings":["Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, CN"],"affiliations":[{"raw_affiliation_string":"Xi'an Institute of Optics and Precision Mechanics, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I4210144662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069606416"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33729381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"377","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965999722480774,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.996399998664856,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7957652807235718},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7105005979537964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6262906789779663},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6075963377952576},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6015965342521667},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5590897798538208},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5356473922729492},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5290597677230835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4837656021118164},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4734227955341339},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46443280577659607},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4518057107925415},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.45023804903030396},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.4246233105659485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25734764337539673},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10885599255561829}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7957652807235718},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7105005979537964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262906789779663},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6075963377952576},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6015965342521667},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5590897798538208},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5356473922729492},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5290597677230835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4837656021118164},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4734227955341339},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46443280577659607},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4518057107925415},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.45023804903030396},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.4246233105659485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25734764337539673},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10885599255561829},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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":10,"referenced_works":["https://openalex.org/W2000084830","https://openalex.org/W2044267436","https://openalex.org/W2069385985","https://openalex.org/W2084509516","https://openalex.org/W2088776202","https://openalex.org/W2099290282","https://openalex.org/W2135981539","https://openalex.org/W2141453390","https://openalex.org/W2151103935","https://openalex.org/W2722851397"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2617958085","https://openalex.org/W1522196789","https://openalex.org/W2082767534"],"abstract_inverted_index":{"Deformable":[0],"models":[1],"have":[2],"obtained":[3],"considerable":[4],"success":[5],"in":[6,36,63],"medical":[7],"image":[8,52,79,109,143,148,151],"segmentation,":[9],"due":[10],"to":[11,27,48,54,72,92,105,159,164,181,189],"its":[12],"ability":[13],"of":[14,19,111,119,128,134,145,171,185],"capturing":[15],"the":[16,20,56,74,77,84,107,125,132,135,146,161,168,172,175,183,191,205,213],"shape":[17,75,133,193],"variation":[18],"target":[21,136],"structure.":[22],"Boundary":[23],"feature":[24,53,100],"is":[25,43,71,103,138,157,179],"used":[26,180],"guide":[28,190],"contour":[29,113,187],"deformation,":[30],"which":[31],"plays":[32],"an":[33],"decisive":[34],"part":[35],"deformable":[37,165],"model":[38],"based":[39],"segmentation.":[40],"However,":[41],"it":[42],"still":[44],"a":[45,50,96,112,117,209],"challenging":[46],"task":[47],"obtain":[49],"distinctive":[51],"describe":[55,106],"boundaries,":[57],"since":[58],"boundaries":[59],"are":[60,90],"not":[61],"necessarily":[62],"accordance":[64],"with":[65],"edges":[66],"or":[67],"ridges.":[68],"Another":[69],"challenge":[70],"infer":[73],"for":[76],"given":[78],"appearance.":[80,152],"In":[81],"this":[82],"paper,":[83],"anatomical":[85],"structures":[86],"from":[87],"MR":[88,201],"images":[89,202],"aimed":[91],"be":[93],"segmented.":[94],"First,":[95],"new":[97,154,162],"normal":[98,126],"vector":[99],"profile":[101],"(NVFP)":[102],"employed":[104],"local":[108,122],"appearance":[110],"point":[114,188],"formed":[115],"by":[116,140],"series":[118],"modified":[120],"SIFT":[121],"descriptors":[123],"along":[124],"direction":[127],"that":[129,204],"point.":[130],"Second,":[131],"structure":[137],"inferred":[139],"matching":[141],"two":[142],"appearances":[144],"test":[147],"and":[149,199],"learned":[150],"A":[153],"match":[155],"function":[156],"designed":[158],"incorporate":[160],"NVFP":[163],"models.":[166],"During":[167],"optimization":[169],"procedure":[170],"segmentation":[173],"algorithm,":[174],"nearest":[176],"neighbor":[177],"approach":[178],"compute":[182],"displacement":[184],"each":[186],"global":[192],"deformation.":[194],"Experimental":[195],"results":[196],"on":[197],"prostate":[198],"bladder":[200],"show":[203],"proposed":[206],"method":[207],"has":[208],"better":[210],"performance":[211],"than":[212],"previous":[214],"method.":[215]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}