{"id":"https://openalex.org/W2732004820","doi":"https://doi.org/10.2352/issn.2470-1173.2017.2.vipc-404","title":"A fast and accurate segmentation method for medical images","display_name":"A fast and accurate segmentation method for medical images","publication_year":2017,"publication_date":"2017-01-29","ids":{"openalex":"https://openalex.org/W2732004820","doi":"https://doi.org/10.2352/issn.2470-1173.2017.2.vipc-404","mag":"2732004820"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2017.2.vipc-404","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.2.vipc-404","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5081006562","display_name":"Jiatao Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiatao Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738497","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-7230-3196"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065293431","display_name":"Yun Peng","orcid":"https://orcid.org/0000-0002-6891-180X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100780601","display_name":"Chunxiao Fan","orcid":"https://orcid.org/0000-0002-3607-4904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chunxiao Fan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0902,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44385604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":"2","first_page":"38","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9944999814033508,"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":0.9944999814033508,"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":0.987500011920929,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9629999995231628,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7622225880622864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7389695644378662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7046984434127808},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7011446356773376},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5368037819862366},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5146321058273315},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4679618775844574},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.456615149974823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4230685532093048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3904697299003601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.173984557390213},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.055166006088256836}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7622225880622864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389695644378662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7046984434127808},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7011446356773376},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5368037819862366},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5146321058273315},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4679618775844574},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.456615149974823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4230685532093048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3904697299003601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.173984557390213},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.055166006088256836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2017.2.vipc-404","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2017.2.vipc-404","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4379231730","https://openalex.org/W2766331907","https://openalex.org/W2794488505","https://openalex.org/W4389858081","https://openalex.org/W2765471884","https://openalex.org/W4301594054","https://openalex.org/W4324315429","https://openalex.org/W3125889879","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Selecting":[0],"regions":[1],"of":[2,5,19,48,68],"interest":[3],"(ROI)":[4],"the":[6,23,74,96,102,107,113,123],"medical":[7,14,69,129],"images":[8,28],"is":[9],"an":[10],"important":[11],"task":[12],"in":[13],"image":[15,77,104,130],"processing.":[16],"Manual":[17],"selection":[18],"ROIs":[20,43,64],"serves":[21],"as":[22],"main":[24],"method":[25,61,93,125],"for":[26],"single":[27],"and":[29,58],"it":[30,36],"has":[31,80],"a":[32,45,56,66,89],"high":[33],"accuracy.":[34],"However,":[35],"will":[37],"become":[38],"infeasible":[39],"to":[40,62,94],"manually":[41],"segment":[42,73],"on":[44,65,128],"large":[46],"number":[47],"images.":[49,70],"Observing":[50],"this":[51,53],"problem,":[52],"paper":[54],"proposes":[55],"fast":[57],"accurate":[59],"segmentation":[60],"obtain":[63],"batch":[67],"Firstly,":[71],"we":[72,87,100,111],"standard":[75],"brain":[76],"St":[78],"which":[79],"not":[81],"been":[82],"injected":[83],"with":[84,106],"tracer.":[85],"Secondly,":[86],"use":[88],"B-Spline":[90],"elastic":[91],"registration":[92,108],"get":[95,101],"inverse-registration":[97],"parameters.":[98,109],"Thirdly,":[99],"template":[103,117],"Te":[105],"Finally,":[110],"search":[112],"target":[114],"region":[115],"by":[116],"matching.":[118],"Experimental":[119],"results":[120],"show":[121],"that":[122],"proposed":[124],"performs":[126],"well":[127],"segmentation.":[131]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-24T06:17:17.354583","created_date":"2025-10-10T00:00:00"}
