{“id”:“https://openalex.org/W2998388769“,”doi“:”https://doi.org/10.109/icccnt45670.2019.8944893“,”title“:“用于EDI OCT图像自动分割的卷积神经网络”,“display_name”:“用于自动分割EDI OCT图像的卷积神经元网络”,”publication_year“:2019,”publiction_date“:”2019-07-01“,”ids“:{”openalex“:”https://openalex.org/W2998388769“,”doi“:”https://doi.org/10.109/icccnt45670.2019.8944893“,”mag“:”2998388769“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/icccnt45670.2019.8944893“,”pdf_url“:null,”source“:null,”license“:null',”licence_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:“procesdings-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:false,”oa_status“:”closed“,”oa_url”:null“,”any_repository_has_fulltext“:false}”,”authorships“:[{”author_position“:”first“,”作者“:{”id“:”https://openalex.org/A5010056722“,”display_name“:”Neetha George“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:false,”raw_author_name“:”Neetha-Gorge“,“raw_affiliation_strings”:[“Trivandrum工程学院#TAB#”],“afliations”:[{“raw_affiliation_string”:“Trivandrim工程学院#TAB#”,“institution_ids”:[]},{“author_position”:“last”,“作者“:{”id“:”https://openalex.org/A5090509340“,”display_name“:”C.V.Jiji“,”orcid“:”https://orcid.org/0000-0002-6667-226X“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”C.V.Jiji“,”raw _ afiliation_strings“:[”特里凡德拉姆工程学院#TAB#“],”从属关系“:[{”raw_ afiliation _string“:”特里凡德拉姆工程大学#TAB##“,”机构ID“:[]}],”countries _ distinct_count“:0,”corresponding_author_ids“:[],”correspounding_institution_ids”:[]、“apc_list”:null,“apc_payed”:null,“has_fulltext”:false,“cited_by_count”:1,“cited_by_percentile_year”:{“min”:66,“max”:74},“biblio”:{-“volume”:null,“issue”:null,“first_page”:nul,“last_page”:null},”is_retracted“:false”,“is_paratext”:false,“primary_t”主题“:{”id“:”https://openalex.org/T11569“,”display_name“:”光学相干层析成像“,”score“:0.9983,”subfield“:{”id“:”https://openalex.org/subfields/2204“,”display_name“:”生物医学工程“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T11569“,”display_name“:”光学相干层析成像“,”score“:0.9983,”subfield“:{”id“:”https://openalex.org/subfields/2204“,”display_name“:”生物医学工程“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11438“,”display_name“:”视网膜疾病的检测与管理“,”score“:0.9978,”subfield“:{”id“:”https://openalex.org/subfields/2741“,”display_name“:”放射学、核医学和成像“},”field“:{”id“:”https://openalex.org/fields/27“,”display_name“:”Medicine“},”domain“:{”id“:”https://openalex.org/domains/4“,”“display_name”:“健康科学”}},{”id“:”https://openalex.org/T10052“,”display_name“:”图像分割技术“,”score“:0.9774,”subfield“:{”id“:”https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/image-segmentation网站“,”display_name“:”图像分割“,”score“:0.5934},{”id“:”https://openalex.org/keywords/mri分段“,”display_name“:”MRI分割“,”score“:0.569227},{”id“:”https://openalex.org/keywords/optical-corence-tomography网站“,”display_name“:”光学相干层析成像“,”score“:0.531863},{”id“:”https://openalex.org/keywords/in-vivo-imaging网站“,”display_name“:”体内成像“,”score“:0.523313},{”id“:”https://openalex.org/keywords/image-analysis网站“,”display_name“:”图像分析“,”score“:0.51876}],”concepts“:[{”id“:”https://openalex.org/C81363708,“wikidata”:https://www.wikidata.org/wiki/Q17084460“,”display_name“:”卷积神经网络“,”level“:2,”score“:0.77981246},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7779763},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.6622111},{”id“:”https://openalex.org/C89600930,“wikidata”:https://www.wikidata.org/wiki/Q1423946“,”display_name“:”Segmentation“,”level“:2,”score“:0.56565046},{”id“:”https://openalex.org/C124504099,“wikidata”:https://www.wikidata.org/wiki/Q56933“,”display_name“:”图像分割“,”level“:3,”score“:0.48680922},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.45322999},{”id“:”https://openalex.org/C31972630,“wikidata”:https://www.wikidata.org/wiki/Q844240“,”display_name“:”计算机视觉“,”level“:1,”score“:0.3289436}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/icccnt45670.2019.8944893“,”pdf_url“:null,”source“:null,”license“:null:”license_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[]:”,“referenced_works_count”:16,“referrenced_works”:[”https://openalex.org/W1591884284","https://openalex.org/W1686810756","https://openalex.org/W1977992028","https://openalex.org/W1993836555","https://openalex.org/W2056467439","https://openalex.org/W2075074742","https://openalex.org/W2083848705","https://openalex.org/W2141771435","https://openalex.org/W2418802570","https://openalex.org/W258701042","https://openalex.org/W2754313360","https://openalex.org/W2801037191","https://openalex.org/W2898575988","https://openalex.org/W2917403694","https://openalex.org/W2948720149","https://openalex.org/W2963881378“],”related_works“:[”https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4312417841","https://openalex.org/W4293226380","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2811106690","https://openalex.org/W2590798552","https://openalex.org/W2318112981","https://openalex.org/W1522196789“],”ngrams_url“:”https://api.openalex.org/works/W2998388769/ngrams网站“,”“abstract_inverted_index”:{“Analysis”:[0],“of”:[1,11,17,25,35,45,78,92],“Enhanced”:[2],“Depth”:[3],“Imaging”:[4],“Optical”:[5],“Coherence”:[6],“Tomography”:[7],“(EDI”:[8],“OCT)”:[9],“images”:[10,34,61],“the”:[12,29,43,64,79,90,93105123],“choroid”:[13,30],“helps”:[14],“in”:[15,31],“identification”:[16],“many”:[18],“retinal”:[19112]混乱。“:[20],”虽然“:[21],”a“:[22,36],”广泛“:[23],”多样“:[24],”算法“:[26],”对于“:[27,62110],”分段“:[28,63],”EDI“:[32,59],”OCT“:[33,60],”健康“:[37111],”视网膜“:[38],”存在“:[39],”非常“:[40],”少数“:[41],”地址“:[42],”案例“:[44],“感染”:[46120],“眼睛。“:[47],“In”:[48],“this”:[49],“work”,:[50],“we”:[P1],“use”:[52],“Convolutional”:[53],“Neural”:[54],“Network”:55],“(CNN)”:[56],“trained”:[57],“with”:58119],“choroid”。“:[65,94],”A“:[66],”像素“:[67,75],”分类“:[68],”层“:[69],”是“:[70],”使用“:[71],”到“:[72,76],”归类“:[73],”每个“:[74],”一个“:[77],”类“:[80],”标签。“:[81],“形态学”:[82],“操作”:[83],“后跟”:[84],“by”:[85],“边缘”:[86],“检测”:[87],“then”:[88],“描绘”:[89],“边界”:[91],“我们的”:[95],“结果”:[96],“不”:[97],“仅”:[98],“显示”:[99],“an”:[100],“精确度”:[101],“级别”:[102],“that”:[103],“超越”:[104],“现有”:[106124],“分割”:[107],“技术”:[108],“合适的“:[109],”图像,“:[11312],”但“:[114],”还“:[115],”生成“:[116],”更好“:[117],”值“:[118],”其中“:[122],”方法“:[125],”失败。“:[126]},”cited_by_api_url“:”https://api.openalex.org/works?filter=引用:W29983888769“,”counts_by_year“:[{”年“:2020,”cited_by_count“:1}],”更新日期“:”2024-06-17T10:00:27.22677“,”创建日期“:“2020-01-10”}