{"id":"https://openalex.org/W3090439578","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206630","title":"A Parallel Method for Anatomical Structure Segmentation based on 3D Seeded Region Growing","display_name":"A Parallel Method for Anatomical Structure Segmentation based on 3D Seeded Region Growing","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090439578","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206630","mag":"3090439578"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5024339044","display_name":"Paulo Lacerda","orcid":"https://orcid.org/0000-0001-9028-3507"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paulo Lacerda","raw_affiliation_strings":["Computing Institute, Federal Fluminense University, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Institute, Federal Fluminense University, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050710071","display_name":"Jos\u00e9 Carlos Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-9709-5338"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose Gonzalez","raw_affiliation_strings":["Computing Institute, Federal Fluminense University, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Institute, Federal Fluminense University, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019816782","display_name":"Nazareth N. Rocha","orcid":"https://orcid.org/0000-0003-0921-8068"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nazareth Rocha","raw_affiliation_strings":["Biomedical Institute, Federal Fluminense University, Brazil"],"affiliations":[{"raw_affiliation_string":"Biomedical Institute, Federal Fluminense University, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003169900","display_name":"Fl\u00e1vio Luiz Seixas","orcid":"https://orcid.org/0000-0002-7160-0818"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Flavio Seixas","raw_affiliation_strings":["Computing Institute, Federal Fluminense University, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Institute, Federal Fluminense University, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066716326","display_name":"C\u00e9lio Albuquerque","orcid":"https://orcid.org/0000-0002-7959-6569"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Celio Albuquerque","raw_affiliation_strings":["Computing Institute, Federal Fluminense University, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Institute, Federal Fluminense University, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057392530","display_name":"Esteban Clua","orcid":"https://orcid.org/0000-0001-5650-1718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Esteban Clua","raw_affiliation_strings":["Computing Institute, Federal Fluminense University, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Institute, Federal Fluminense University, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048172675","display_name":"Aura Conci","orcid":"https://orcid.org/0000-0003-0782-2501"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aura Conci","raw_affiliation_strings":["Computing Institute, Federal Fluminense University, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Institute, Federal Fluminense University, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5024339044"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2575,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51318754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.998199999332428,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9905999898910522,"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/seeding","display_name":"Seeding","score":0.7395412921905518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199414730072021},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.60993492603302},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5404554009437561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5306873321533203},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5048049688339233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46559298038482666},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.30986252427101135},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11693200469017029},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.08845454454421997}],"concepts":[{"id":"https://openalex.org/C36248471","wikidata":"https://www.wikidata.org/wiki/Q7445669","display_name":"Seeding","level":2,"score":0.7395412921905518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199414730072021},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.60993492603302},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5404554009437561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5306873321533203},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5048049688339233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46559298038482666},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.30986252427101135},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11693200469017029},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.08845454454421997}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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":16,"referenced_works":["https://openalex.org/W103120304","https://openalex.org/W627314046","https://openalex.org/W766160502","https://openalex.org/W1909740415","https://openalex.org/W1987869189","https://openalex.org/W1993947467","https://openalex.org/W2011616761","https://openalex.org/W2096579040","https://openalex.org/W2140775860","https://openalex.org/W2199128562","https://openalex.org/W2279379383","https://openalex.org/W2611684114","https://openalex.org/W2659698999","https://openalex.org/W2888397986","https://openalex.org/W2905086937","https://openalex.org/W2998072604"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W3144569342","https://openalex.org/W2386644571","https://openalex.org/W2368273968","https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W1986655823","https://openalex.org/W4281943322","https://openalex.org/W4313052709"],"abstract_inverted_index":{"Medical":[0],"images":[1],"are":[2],"important":[3],"elements":[4],"for":[5,39],"the":[6,20,28,50,76,85,96,99],"diagnosis":[7],"of":[8,23,30,98],"diseases.":[9],"Computer":[10,71],"Aided":[11],"Diagnostic":[12],"has":[13],"evolved":[14],"in":[15,44,95],"recent":[16],"years":[17],"along":[18],"with":[19],"processing":[21],"capacity":[22],"computers":[24],"as":[25,27,49],"well":[26],"emergence":[29],"new":[31],"computational":[32],"techniques.":[33],"Segmentation":[34],"is":[35],"a":[36,41],"valuable":[37],"approach":[38,78],"identifying":[40],"specific":[42],"area":[43],"human":[45],"body":[46],"images,":[47],"such":[48],"lungs":[51],"and":[52],"heart.":[53],"This":[54],"work":[55],"proposes":[56],"an":[57],"algorithm":[58,90],"to":[59],"segment":[60],"anatomical":[61],"structures":[62],"using":[63,69],"parallel":[64],"3D":[65],"region":[66,88],"growing.":[67],"Experiments":[68],"different":[70],"Tomography":[72],"scans":[73],"show":[74],"that":[75],"proposed":[77],"can":[79],"run":[80],"150":[81],"times":[82],"faster":[83],"than":[84],"typical":[86],"sequential":[87],"growing":[89],"while":[91],"providing":[92],"good":[93],"results":[94],"identification":[97],"target":[100],"region.":[101]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
