{"id":"https://openalex.org/W3092858441","doi":null,"title":"Automated Iterative Training of Convolutional Neural Networks for Tree Skeleton Segmentation.","display_name":"Automated Iterative Training of Convolutional Neural Networks for Tree Skeleton Segmentation.","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3092858441","mag":"3092858441"},"language":"en","primary_location":{"id":"mag:3092858441","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2010.08296v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2010.08296v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017953828","display_name":"Keenan Granland","orcid":"https://orcid.org/0000-0002-1064-0146","observed_orcids":["https://orcid.org/0000-0002-1064-0146"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keenan Granland","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1064-0146","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"R. Newbury","orcid":"https://orcid.org/0000-0002-5791-6461","observed_orcids":["https://orcid.org/0000-0002-5791-6461"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Newbury","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5791-6461","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016840568","display_name":"David Ting","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Ting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Chao Chen","orcid":"https://orcid.org/0000-0001-5462-5725","observed_orcids":["https://orcid.org/0000-0001-5462-5725"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5462-5725","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9193999767303467,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9193999767303467,"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/T10616","display_name":"Smart Agriculture and AI","score":0.016100000590085983,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.01489999983459711,"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/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.984000027179718},{"id":"https://openalex.org/keywords/automated-training","display_name":"automated training","score":0.6710000038146973},{"id":"https://openalex.org/keywords/iterative-training","display_name":"iterative training","score":0.8790000081062317},{"id":"https://openalex.org/keywords/plant-phenotyping","display_name":"plant phenotyping","score":0.43299999833106995}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7545668482780457},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6811009049415588},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6360933184623718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320005059242249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5882942080497742},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5486319065093994},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5397710204124451},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.44974568486213684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4226449728012085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3462381958961487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3248981535434723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1397174894809723},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10423934459686279},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3092858441","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2010.08296v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:3092858441","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2010.08296v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2091695913","https://openalex.org/W2138079527","https://openalex.org/W2153819437","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2464209726","https://openalex.org/W2554423077","https://openalex.org/W2609825896","https://openalex.org/W2784195389","https://openalex.org/W2884367402","https://openalex.org/W2903158431","https://openalex.org/W2948811696","https://openalex.org/W2955763856","https://openalex.org/W2963296333","https://openalex.org/W2963435192","https://openalex.org/W2984353870","https://openalex.org/W3011638763","https://openalex.org/W3012668059","https://openalex.org/W3034749675","https://openalex.org/W3125812266"],"related_works":["https://openalex.org/W3159097760","https://openalex.org/W7132948237","https://openalex.org/W3041307384","https://openalex.org/W7223087593","https://openalex.org/W1675977330","https://openalex.org/W87304492","https://openalex.org/W3216731065","https://openalex.org/W7160126738","https://openalex.org/W7015828541","https://openalex.org/W3154241642"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2020-10-22T00:00:00"}