{"id":"https://openalex.org/W2805996631","doi":"https://doi.org/10.1109/isbi.2018.8363863","title":"Deep convolutional neural network based screening and assessment of age-related macular degeneration from fundus images","display_name":"Deep convolutional neural network based screening and assessment of age-related macular degeneration from fundus images","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2805996631","doi":"https://doi.org/10.1109/isbi.2018.8363863","mag":"2805996631"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2018.8363863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","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/A5023992179","display_name":"Arun Govindaiah","orcid":"https://orcid.org/0000-0001-7458-5361"},"institutions":[{"id":"https://openalex.org/I54383971","display_name":"EcoHealth Alliance","ror":"https://ror.org/02zv3m156","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I54383971"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arun Govindaiah","raw_affiliation_strings":["iHealthScreen. Inc., New York, USA"],"affiliations":[{"raw_affiliation_string":"iHealthScreen. Inc., New York, USA","institution_ids":["https://openalex.org/I54383971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090393964","display_name":"Md. Akter Hussain","orcid":"https://orcid.org/0000-0002-7780-298X"},"institutions":[{"id":"https://openalex.org/I54383971","display_name":"EcoHealth Alliance","ror":"https://ror.org/02zv3m156","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I54383971"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Akter Hussain","raw_affiliation_strings":["iHealthScreen. Inc., New York, USA"],"affiliations":[{"raw_affiliation_string":"iHealthScreen. Inc., New York, USA","institution_ids":["https://openalex.org/I54383971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064387995","display_name":"R. Theodore Smith","orcid":"https://orcid.org/0000-0002-1693-943X"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roland Theodore Smith","raw_affiliation_strings":["Icahn School of Medicine at Mount Sinai, New York, USA"],"affiliations":[{"raw_affiliation_string":"Icahn School of Medicine at Mount Sinai, New York, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103126437","display_name":"Alauddin Bhuiyan","orcid":"https://orcid.org/0000-0001-5775-2228"},"institutions":[{"id":"https://openalex.org/I54383971","display_name":"EcoHealth Alliance","ror":"https://ror.org/02zv3m156","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I54383971"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alauddin Bhuiyan","raw_affiliation_strings":["iHealthScreen. Inc., New York, USA"],"affiliations":[{"raw_affiliation_string":"iHealthScreen. Inc., New York, USA","institution_ids":["https://openalex.org/I54383971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023992179"],"corresponding_institution_ids":["https://openalex.org/I54383971"],"apc_list":null,"apc_paid":null,"fwci":3.3594,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.9287676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1525","last_page":"1528"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T12599","display_name":"Retinal and Optic Conditions","score":0.9902999997138977,"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/macular-degeneration","display_name":"Macular degeneration","score":0.7786649465560913},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7153748273849487},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7133432626724243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6916431784629822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6753078699111938},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.5962885022163391},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5074357390403748},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4697718322277069},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4649793803691864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4232529103755951},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.237091064453125},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.2106822431087494}],"concepts":[{"id":"https://openalex.org/C2776403814","wikidata":"https://www.wikidata.org/wiki/Q27429789","display_name":"Macular degeneration","level":2,"score":0.7786649465560913},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7153748273849487},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7133432626724243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6916431784629822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6753078699111938},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.5962885022163391},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5074357390403748},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4697718322277069},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4649793803691864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4232529103755951},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.237091064453125},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.2106822431087494},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2018.8363863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2018.8363863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W180947891","https://openalex.org/W1686810756","https://openalex.org/W1986139367","https://openalex.org/W2031694411","https://openalex.org/W2055690146","https://openalex.org/W2059567689","https://openalex.org/W2068939700","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2330592348","https://openalex.org/W2483700515","https://openalex.org/W2751884637","https://openalex.org/W3096437212","https://openalex.org/W4300809525","https://openalex.org/W6637373629","https://openalex.org/W6687483927"],"related_works":["https://openalex.org/W3041046439","https://openalex.org/W2994531931","https://openalex.org/W4386789577","https://openalex.org/W4360991425","https://openalex.org/W2049145612","https://openalex.org/W4246192989","https://openalex.org/W2992454348","https://openalex.org/W2321279150","https://openalex.org/W2992711016","https://openalex.org/W2967742050"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,77,83,106,156],"provide":[4],"a":[5,60,163,169,178],"study":[6],"on":[7,92],"deep":[8,164],"convolution":[9],"neural":[10,63,165,194],"networks":[11,205],"for":[12,137,209],"finding":[13],"the":[14,18,36,69,86,93,109,126,138,160,192,201],"appropriateness":[15],"of":[16,27,35,162,172],"using":[17,177],"transfer":[19],"learning":[20],"to":[21,154],"screen":[22],"an":[23],"individual":[24],"at":[25],"risk":[26],"Age-related":[28],"Macular":[29],"Degeneration":[30],"(AMD).":[31],"We":[32,58,123,187],"make":[33],"use":[34,59],"Age-Related":[37],"Eye":[38],"Disease":[39],"Study":[40],"(AREDS)":[41],"dataset":[42],"with":[43,65,129,142,168],"over":[44],"150000":[45],"images":[46,87,110,173],"which":[47,134],"also":[48,189],"provided":[49],"qualitative":[50],"grading":[51],"information":[52],"by":[53],"expert":[54],"graders":[55],"and":[56,100,120,185],"ophthalmologists.":[57],"modified":[61,131],"VGG16":[62,132,197],"network":[64,133,166],"batch":[66],"normalization":[67],"in":[68,182],"last":[70],"fully":[71],"connected":[72],"layers.":[73],"For":[74],"our":[75,130],"study,":[76],"have":[78,84,107,124,157,188],"conducted":[79],"two":[80,89,139],"experiments.":[81],"First,":[82],"categorized":[85,108],"into":[88,111],"classes":[90],"based":[91],"clinical":[94],"significance:":[95],"No":[96,114],"or":[97,102],"early":[98,116],"AMD":[99,119,183],"Intermediate":[101,118],"Advanced":[103,121],"AMD.":[104,122],"Second,":[105],"four":[112],"classes:":[113],"AMD,":[115,117],"achieved":[125],"best":[127],"accuracy":[128],"is":[135],"92.5%":[136],"class":[140],"problem":[141],"more":[143],"than":[144,176,200],"one":[145],"hundred":[146],"thousand":[147],"images.":[148],"With":[149],"accuracies":[150],"ranging":[151],"from":[152],"83%":[153],"92.5%,":[155],"demonstrated":[158],"that":[159,191],"training":[161],"explicitly":[167],"sufficient":[170],"number":[171],"fares":[174,198],"better":[175,199],"pre-trained":[179],"network,":[180,195],"especially":[181],"detection,":[184],"screening.":[186],"observed":[190],"deeper":[193],"i.e.,":[196],"other":[202],"relatively":[203],"shallower":[204],"such":[206],"as":[207],"AlexNet":[208],"similar":[210],"studies.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
