乐胖代购免代理版

{"id":"https://openalex.org/W2971481774","doi":"https://doi.org/10.1142/s0218001420520023","title":"Deep Learning Classification on Optical Coherence Tomography Retina Images","display_name":"Deep Learning Classification on Optical Coherence Tomography Retina Images","publication_year":2019,"publication_date":"2019-09-06","ids":{"openalex":"https://openalex.org/W2971481774","doi":"https://doi.org/10.1142/s0218001420520023","mag":"2971481774"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420520023","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5083863746","display_name":"Frank Y. Shih","orcid":"https://orcid.org/0000-0002-1507-0285"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]},{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"funder","lineage":["https://openalex.org/I143578492"]}],"countries":["TW","US"],"is_corresponding":true,"raw_author_name":"Frank Y. Shih","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan","Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I118118575"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I143578492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091847355","display_name":"Himanshu Patel","orcid":"https://orcid.org/0000-0003-0624-2855"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Himanshu Patel","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083863746"],"corresponding_institution_ids":["https://openalex.org/I118118575","https://openalex.org/I143578492"],"apc_list":null,"apc_paid":null,"fwci":1.722,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":13,"citation_normalized_percentile":{"value":0.801213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"34","issue":"08","first_page":"2052002","last_page":"2052002"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9964,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10170","display_name":"Retinal Diseases and Treatments","score":0.9833,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5711601},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.49164706}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8562226},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.81669706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80142695},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7387363},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.64718264},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.62263095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6008989},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5711601},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.49164706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4402326},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.42925274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4243386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26995105},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.07661229},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.05316043}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001420520023","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W1883941251","https://openalex.org/W2007568865","https://openalex.org/W2010315761","https://openalex.org/W2078870028","https://openalex.org/W2097117768","https://openalex.org/W2101926813","https://openalex.org/W2108357419","https://openalex.org/W2163922914","https://openalex.org/W2183341477","https://openalex.org/W2221415430","https://openalex.org/W2346062110","https://openalex.org/W2418802570","https://openalex.org/W2480295938","https://openalex.org/W2570893893","https://openalex.org/W2622826443","https://openalex.org/W2623293810","https://openalex.org/W2752788177","https://openalex.org/W2788633781","https://openalex.org/W2901310501","https://openalex.org/W2917393555","https://openalex.org/W4321429234"],"related_works":["https://openalex.org/W3153082147","https://openalex.org/W2968833425","https://openalex.org/W2899689856","https://openalex.org/W2768918307","https://openalex.org/W2305044305","https://openalex.org/W2110031805","https://openalex.org/W2040020606","https://openalex.org/W115686965","https://openalex.org/W1033756233","https://openalex.org/W1014602304"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,73],"novel":[4],"deep":[5,20],"learning":[6,63],"classification":[7],"technique":[8],"applied":[9],"on":[10,24,86,130],"optical":[11],"coherence":[12],"tomography":[13],"(OCT)":[14],"retinal":[15,31,87],"images.":[16,88],"We":[17,102],"propose":[18],"the":[19,50,61,66,83,114,132],"neural":[21,68],"networks":[22,69],"based":[23],"Vgg16":[25],"pre-trained":[26],"network":[27,115],"model.":[28],"The":[29,89],"OCT":[30,92],"image":[32],"dataset":[33],"consists":[34],"of":[35,52,107,123],"four":[36],"classes,":[37],"including":[38],"three":[39],"most":[40],"common":[41],"retina":[42,47],"diseases":[43],"and":[44],"one":[45],"normal":[46],"scan.":[48],"Because":[49],"scale":[51],"training":[53,113],"data":[54,75,79],"is":[55],"not":[56],"sufficiently":[57],"large,":[58],"we":[59,77],"use":[60,78],"transfer":[62],"technique.":[64],"Since":[65],"convolutional":[67],"are":[70,95],"sensitive":[71],"to":[72,81,97],"little":[74],"change,":[76],"augmentation":[80],"analyze":[82],"classified":[84],"results":[85,118],"input":[90],"grayscale":[91],"scan":[93],"images":[94,99],"converted":[96],"RGB":[98],"using":[100],"colormaps.":[101],"have":[103],"evaluated":[104],"different":[105],"types":[106],"classifiers":[108],"with":[109],"variant":[110],"parameters":[111],"in":[112],"architecture.":[116],"Experimental":[117],"show":[119],"that":[120],"testing":[121],"accuracy":[122],"99.48%":[124],"can":[125],"be":[126],"obtained":[127],"as":[128],"combined":[129],"all":[131],"classes.":[133]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2971481774","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-04-20T03:51:22.783750","created_date":"2019-09-12"}