{"id":"https://openalex.org/W3004243637","doi":"https://doi.org/10.3390/s20030812","title":"Depth Density Achieves a Better Result for Semantic Segmentation with the Kinect System","display_name":"Depth Density Achieves a Better Result for Semantic Segmentation with the Kinect System","publication_year":2020,"publication_date":"2020-02-03","ids":{"openalex":"https://openalex.org/W3004243637","doi":"https://doi.org/10.3390/s20030812","mag":"3004243637","pmid":"https://pubmed.ncbi.nlm.nih.gov/32028625"},"language":"en","primary_location":{"id":"doi:10.3390/s20030812","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20030812","pdf_url":"https://www.mdpi.com/1424-8220/20/3/812/pdf?version=1581485464","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/3/812/pdf?version=1581485464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089512717","display_name":"Hanbin Deng","orcid":"https://orcid.org/0000-0002-9476-5113"},"institutions":[{"id":"https://openalex.org/I135836153","display_name":"Shenyang Agricultural University","ror":"https://ror.org/01n7x9n08","country_code":"CN","type":"education","lineage":["https://openalex.org/I135836153"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanbing Deng","raw_affiliation_strings":["College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","institution_ids":["https://openalex.org/I135836153"]},{"raw_affiliation_string":"Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101533916","display_name":"Tongyu Xu","orcid":"https://orcid.org/0000-0001-9284-649X"},"institutions":[{"id":"https://openalex.org/I135836153","display_name":"Shenyang Agricultural University","ror":"https://ror.org/01n7x9n08","country_code":"CN","type":"education","lineage":["https://openalex.org/I135836153"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tongyu Xu","raw_affiliation_strings":["College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","institution_ids":["https://openalex.org/I135836153"]},{"raw_affiliation_string":"Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014849955","display_name":"Yuncheng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I135836153","display_name":"Shenyang Agricultural University","ror":"https://ror.org/01n7x9n08","country_code":"CN","type":"education","lineage":["https://openalex.org/I135836153"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncheng Zhou","raw_affiliation_strings":["College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","institution_ids":["https://openalex.org/I135836153"]},{"raw_affiliation_string":"Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042232503","display_name":"Miao Teng","orcid":"https://orcid.org/0000-0001-8326-3313"},"institutions":[{"id":"https://openalex.org/I135836153","display_name":"Shenyang Agricultural University","ror":"https://ror.org/01n7x9n08","country_code":"CN","type":"education","lineage":["https://openalex.org/I135836153"]},{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Miao","raw_affiliation_strings":["College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China","institution_ids":["https://openalex.org/I135836153"]},{"raw_affiliation_string":"Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang 110866, China","institution_ids":["https://openalex.org/I4210156423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101533916"],"corresponding_institution_ids":["https://openalex.org/I135836153","https://openalex.org/I4210156423"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.9552,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80314316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"3","first_page":"812","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9908000230789185,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9851999878883362,"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/segmentation","display_name":"Segmentation","score":0.7692967653274536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7685900330543518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.721701443195343},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5849416255950928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5776398777961731},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5570919513702393},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5519907474517822},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5488274693489075},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5365825295448303},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4964345097541809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4822855293750763},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.414220929145813},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10480573773384094}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7692967653274536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7685900330543518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.721701443195343},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5849416255950928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5776398777961731},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5570919513702393},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5519907474517822},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5488274693489075},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5365825295448303},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4964345097541809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4822855293750763},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.414220929145813},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10480573773384094},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20030812","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20030812","pdf_url":"https://www.mdpi.com/1424-8220/20/3/812/pdf?version=1581485464","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32028625","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32028625","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:4cf59ae435de42b1b28cea5310cbe4f3","is_oa":true,"landing_page_url":"https://doaj.org/article/4cf59ae435de42b1b28cea5310cbe4f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 3, p 812 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/3/812/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20030812","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7038701","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7038701","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20030812","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20030812","pdf_url":"https://www.mdpi.com/1424-8220/20/3/812/pdf?version=1581485464","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1350420690","display_name":null,"funder_award_id":"31601218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8446920215","display_name":null,"funder_award_id":"61673218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8980071034","display_name":null,"funder_award_id":"31601219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004243637.pdf","grobid_xml":"https://content.openalex.org/works/W3004243637.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1849277567","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W1943743677","https://openalex.org/W1981323832","https://openalex.org/W1985870845","https://openalex.org/W1993820390","https://openalex.org/W2035062282","https://openalex.org/W2076063813","https://openalex.org/W2086330580","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2102858230","https://openalex.org/W2104636679","https://openalex.org/W2104657103","https://openalex.org/W2109255472","https://openalex.org/W2117539524","https://openalex.org/W2145339207","https://openalex.org/W2152946538","https://openalex.org/W2157150618","https://openalex.org/W2161558103","https://openalex.org/W2168036630","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2519871750","https://openalex.org/W2593722617","https://openalex.org/W2618530766","https://openalex.org/W2752192487","https://openalex.org/W2774245783","https://openalex.org/W2789841333","https://openalex.org/W2796322103","https://openalex.org/W2886674422","https://openalex.org/W2891502169","https://openalex.org/W2903889209","https://openalex.org/W2912361013","https://openalex.org/W2919115771","https://openalex.org/W2945225952","https://openalex.org/W2946501452","https://openalex.org/W2947521956","https://openalex.org/W2953153458","https://openalex.org/W2963037989","https://openalex.org/W2970762340","https://openalex.org/W2995095401","https://openalex.org/W6674330103","https://openalex.org/W6743885703"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,42,103,120,141,179],"is":[2],"one":[3],"of":[4,16,32,40,90,101,118,139,176,180,187,192],"the":[5,14,30,38,86,99,106,109,116,127,174,177,189],"most":[6],"important":[7],"methods":[8],"for":[9,104],"animal":[10],"phenome":[11],"research.":[12],"Since":[13],"advent":[15],"deep":[17],"learning,":[18],"many":[19],"researchers":[20],"have":[21],"looked":[22],"at":[23],"multilayer":[24],"convolutional":[25,123],"neural":[26],"networks":[27,48,124],"to":[28,50,84,98],"solve":[29],"problems":[31],"image":[33,41,119],"segmentation.":[34,58],"A":[35],"network":[36],"simplifies":[37],"task":[39],"with":[43,56],"automatic":[44],"feature":[45],"extraction.":[46],"Many":[47],"struggle":[49],"output":[51],"accurate":[52],"details":[53],"when":[54],"dealing":[55],"pixel-level":[57],"In":[59,108],"this":[60,95],"paper,":[61],"we":[62,79,111],"propose":[63],"a":[64,71,76,81,184],"new":[65,82,185],"concept:":[66],"Depth":[67],"density.":[68],"Based":[69],"on":[70],"depth":[72,87,133,167],"image,":[73],"produced":[74,169],"by":[75,156,170],"Kinect":[77,171],"system,":[78],"design":[80],"function":[83],"calculate":[85],"density":[88,134],"value":[89,96],"each":[91],"pixel":[92],"and":[93,121,150,160],"bring":[94],"back":[97],"result":[100,164],"semantic":[102,140,178],"improving":[105],"accuracy.":[107],"experiment,":[110],"choose":[112],"Simmental":[113],"cattle":[114],"as":[115,126],"target":[117],"fully":[122],"(FCN)":[125],"verification":[128],"networks.":[129],"We":[130],"proved":[131],"that":[132,166],"can":[135,172],"improve":[136,173],"four":[137],"metrics":[138],"(pixel":[142],"accuracy,":[143,145],"mean":[144,146],"intersection":[147,153],"over":[148,154],"union,":[149],"frequency":[151],"weight":[152],"union)":[155],"2.9%,":[157],"0.3%,":[158],"11.4%,":[159],"5.02%,":[161],"respectively.":[162],"The":[163],"shows":[165],"information":[168,191],"accuracy":[175],"FCN.":[181],"This":[182],"provides":[183],"way":[186],"analyzing":[188],"phenotype":[190],"animals.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
