{"id":"https://openalex.org/W3005363221","doi":"https://doi.org/10.1109/bibm47256.2019.8983381","title":"A Segmentation Method of Lung Parenchyma From Chest CT Images Based on Dual U-Net","display_name":"A Segmentation Method of Lung Parenchyma From Chest CT Images Based on Dual U-Net","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3005363221","doi":"https://doi.org/10.1109/bibm47256.2019.8983381","mag":"3005363221"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5068038451","display_name":"Wenjun Tan","orcid":"https://orcid.org/0000-0002-3840-9528"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjun Tan","raw_affiliation_strings":["Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101413777","display_name":"Yao Liu","orcid":"https://orcid.org/0000-0002-4700-1559"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050595061","display_name":"Huangying Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huangying Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017211677","display_name":"Jinzhu Yang","orcid":"https://orcid.org/0000-0002-7754-1273"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzhu Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University,Shenyang,China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069708679","display_name":"Xiaoxia Yin","orcid":"https://orcid.org/0009-0009-8939-4459"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxia Yin","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China","Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049750015","display_name":"Yanchun Zhang","orcid":"https://orcid.org/0000-0002-5094-5980"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yanchun Zhang","raw_affiliation_strings":["Centre for Applied Informatics, College of Engineering and Science, Victoria University,Melbourne,Australia","Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Applied Informatics, College of Engineering and Science, Victoria University,Melbourne,Australia","institution_ids":["https://openalex.org/I71270174"]},{"raw_affiliation_string":"Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068038451"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.3414,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65792277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1649","last_page":"1656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886999726295471,"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/parenchyma","display_name":"Parenchyma","score":0.744800329208374},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7338402271270752},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.7094946503639221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614787340164185},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4876641035079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44732850790023804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4193163216114044},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.38222748041152954},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.34036654233932495},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.15284717082977295},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06662946939468384}],"concepts":[{"id":"https://openalex.org/C196822366","wikidata":"https://www.wikidata.org/wiki/Q270524","display_name":"Parenchyma","level":2,"score":0.744800329208374},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7338402271270752},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.7094946503639221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614787340164185},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4876641035079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44732850790023804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4193163216114044},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.38222748041152954},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34036654233932495},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.15284717082977295},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06662946939468384}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.vu.edu.au:41378","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/41378/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W859622504","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1967347364","https://openalex.org/W1984119766","https://openalex.org/W1994062553","https://openalex.org/W1995567168","https://openalex.org/W2015841606","https://openalex.org/W2023522838","https://openalex.org/W2034038829","https://openalex.org/W2041497154","https://openalex.org/W2049266121","https://openalex.org/W2049795461","https://openalex.org/W2095283401","https://openalex.org/W2116331825","https://openalex.org/W2152697758","https://openalex.org/W2161912327","https://openalex.org/W2373906529","https://openalex.org/W2388624565","https://openalex.org/W2508007471","https://openalex.org/W2520732917","https://openalex.org/W2525984666","https://openalex.org/W2592292692","https://openalex.org/W2786204509","https://openalex.org/W2793954249","https://openalex.org/W2805544462","https://openalex.org/W2884436604","https://openalex.org/W2908980571","https://openalex.org/W2927980542","https://openalex.org/W2948907514","https://openalex.org/W2954669050","https://openalex.org/W2959687571","https://openalex.org/W2981167474","https://openalex.org/W6639824700","https://openalex.org/W6640054144","https://openalex.org/W6726636318","https://openalex.org/W6733979190"],"related_works":["https://openalex.org/W2417903212","https://openalex.org/W2041497154","https://openalex.org/W2983114262","https://openalex.org/W2281741346","https://openalex.org/W2128541281","https://openalex.org/W1992581245","https://openalex.org/W4248756257","https://openalex.org/W1998429617","https://openalex.org/W1972477889","https://openalex.org/W2463748233"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,11,34,49,66,77,81,123,134],"lung":[2,13,35,51,56,82,98,135],"parenchyma":[3,36,136],"as":[4],"a":[5,31],"pretreatment":[6],"step":[7],"for":[8,23],"the":[9,47,54,61,75,78,87,90,96,115,121,131,144],"detection":[10],"some":[12],"lesions":[14],"requires":[15],"high":[16],"accuracy":[17],"to":[18,119],"provide":[19],"more":[20,141],"reliable":[21],"information":[22],"lesion":[24],"detection.":[25],"In":[26],"this":[27,138],"paper,":[28],"we":[29],"proposed":[30],"segmentation":[32],"method":[33,139],"from":[37,60],"chest":[38,63,107],"CT":[39,64],"Images":[40],"by":[41,68,85,114,137,146],"Dual":[42,91],"U-Net":[43,92,102,117,148],"algorithm":[44,103,118],"based":[45],"on":[46],"characteristics":[48],"different":[50,79,97],"region.":[52],"Firstly,":[53],"original":[55],"region":[57],"is":[58,83,93],"extracted":[59],"full":[62],"images":[65,76,108,111],"patient":[67],"an":[69],"automatic":[70],"threshold":[71],"selection":[72],"method.":[73],"Then,":[74],"regions":[80],"obtained":[84],"calculating":[86],"area.":[88],"Finally,":[89],"trained":[94],"according":[95],"regions.":[99],"The":[100,126],"first":[101],"operates":[104],"these":[105],"middle":[106],"and":[109,149],"other":[110,124],"are":[112,140],"operated":[113],"second":[116],"reduce":[120],"interference":[122],"images.":[125],"experimental":[127],"results":[128,133,145],"shown":[129],"that":[130],"segmenting":[132],"accurate":[142],"than":[143],"single":[147],"U-Net++":[150],"algorithm.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
