{"id":"https://openalex.org/W4406457856","doi":"https://doi.org/10.1109/bigdata62323.2024.10825578","title":"MycorrhiSEE: a High-Resolution Image Dataset for Deep Learning Based Quantification of Arbuscular Mycorrhizal Fungi","display_name":"MycorrhiSEE: a High-Resolution Image Dataset for Deep Learning Based Quantification of Arbuscular Mycorrhizal Fungi","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406457856","doi":"https://doi.org/10.1109/bigdata62323.2024.10825578"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5038909663","display_name":"Shufan Zhang","orcid":"https://orcid.org/0000-0002-0983-2730"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shufan Zhang","raw_affiliation_strings":["University of Georgia,Institute of Bioinformatics,Athens,GA,U.S.A.,30602-7229"],"affiliations":[{"raw_affiliation_string":"University of Georgia,Institute of Bioinformatics,Athens,GA,U.S.A.,30602-7229","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056462004","display_name":"Thirimachos Bourlai","orcid":"https://orcid.org/0000-0001-8751-0836"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thirimachos Bourlai","raw_affiliation_strings":["University of Georgia,MILAB, School of Electrical & Computer Engineering,Athens,GA,U.S.A.,30602-7229"],"affiliations":[{"raw_affiliation_string":"University of Georgia,MILAB, School of Electrical & Computer Engineering,Athens,GA,U.S.A.,30602-7229","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087611693","display_name":"Jonathan Arnold","orcid":"https://orcid.org/0000-0001-5845-1048"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Arnold","raw_affiliation_strings":["University of Georgia,Institute of Bioinformatics,Athens,GA,U.S.A.,30602-7229"],"affiliations":[{"raw_affiliation_string":"University of Georgia,Institute of Bioinformatics,Athens,GA,U.S.A.,30602-7229","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038909663"],"corresponding_institution_ids":["https://openalex.org/I165733156"],"apc_list":null,"apc_paid":null,"fwci":0.6484,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81106492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8879","last_page":"8881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.9997000098228455,"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/T11085","display_name":"Fungal Biology and Applications","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"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/T10825","display_name":"Plant Pathogens and Fungal Diseases","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/arbuscular-mycorrhizal-fungi","display_name":"Arbuscular mycorrhizal fungi","score":0.6349682807922363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6073047518730164},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5742467045783997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5295119285583496},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4873824715614319},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3208763599395752},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22840732336044312},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14185208082199097},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.0593930184841156}],"concepts":[{"id":"https://openalex.org/C2781026492","wikidata":"https://www.wikidata.org/wiki/Q520825","display_name":"Arbuscular mycorrhizal fungi","level":3,"score":0.6349682807922363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6073047518730164},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5742467045783997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5295119285583496},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4873824715614319},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3208763599395752},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22840732336044312},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14185208082199097},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0593930184841156},{"id":"https://openalex.org/C180032290","wikidata":"https://www.wikidata.org/wiki/Q1664296","display_name":"Inoculation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1957661069","https://openalex.org/W2026917038","https://openalex.org/W2065675237","https://openalex.org/W2108965227","https://openalex.org/W2119861496","https://openalex.org/W2142895859","https://openalex.org/W2146106266","https://openalex.org/W2466128109","https://openalex.org/W2743360601","https://openalex.org/W3133871692","https://openalex.org/W3164735941","https://openalex.org/W4200537596","https://openalex.org/W4255838863","https://openalex.org/W4387296910","https://openalex.org/W4395090265","https://openalex.org/W4396863718"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Developing":[0],"deep":[1,87],"learning":[2,88],"tools":[3],"for":[4,85],"automated":[5],"quantification":[6],"of":[7,19,41],"arbuscular":[8],"mycorrhizal":[9],"fungi":[10],"(AMF)":[11],"necessitates":[12],"large,":[13],"high-quality":[14],"datasets":[15],"capturing":[16],"the":[17,60],"diversity":[18],"AMF-root":[20],"interactions":[21],"under":[22,52],"varied":[23],"environmental":[24],"conditions.":[25],"We":[26],"present":[27],"MycorrhiSEE,":[28],"a":[29,69,82],"15-Terabyte":[30],"(Tb),":[31],"high-resolution":[32],"image":[33],"dataset":[34,75],"comprising":[35],"approximately":[36],"137,500":[37],"whole-slide":[38],"images":[39],"(WSIs)":[40],"root":[42],"segments":[43],"from":[44],"5,500":[45],"sorghum":[46],"plants":[47],"representing":[48],"337":[49],"genotypes,":[50],"grown":[51],"diverse":[53],"agronomic":[54],"treatments.":[55],"Images":[56],"were":[57],"acquired":[58],"using":[59],"ZEISS":[61],"AxioScan":[62],"7":[63],"high-throughput":[64],"robotic":[65],"microscope":[66],"equipped":[67],"with":[68],"5-megapixel":[70],"resolution":[71],"color":[72],"camera.":[73],"This":[74],"provides":[76],"unprecedented":[77],"detail":[78],"and":[79],"diversity,":[80],"offering":[81],"valuable":[83],"resource":[84],"developing":[86],"applications":[89],"in":[90],"AMF":[91],"research.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}