{"id":"https://openalex.org/W3133682345","doi":"https://doi.org/10.1109/dicta51227.2020.9363369","title":"Visualizing and Understanding Inherent Image Features in CNN-based Glaucoma Detection","display_name":"Visualizing and Understanding Inherent Image Features in CNN-based Glaucoma Detection","publication_year":2020,"publication_date":"2020-11-29","ids":{"openalex":"https://openalex.org/W3133682345","doi":"https://doi.org/10.1109/dicta51227.2020.9363369","mag":"3133682345"},"language":"en","primary_location":{"id":"doi:10.1109/dicta51227.2020.9363369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","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/A5052524544","display_name":"Dhaval Vaghjiani","orcid":null},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dhaval Vaghjiani","raw_affiliation_strings":["The University of Western Australia, Perth, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Western Australia, Perth, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102741003","display_name":"Sajib Saha","orcid":"https://orcid.org/0000-0002-5839-8985"},"institutions":[{"id":"https://openalex.org/I4210141844","display_name":"Australian e-Health Research Centre","ror":"https://ror.org/04ywhbc61","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801244131","https://openalex.org/I2801453606","https://openalex.org/I4210141844","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sajib Saha","raw_affiliation_strings":["Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Australia"],"affiliations":[{"raw_affiliation_string":"Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Australia","institution_ids":["https://openalex.org/I4210141844","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046324708","display_name":"Yann Connan","orcid":"https://orcid.org/0000-0002-6065-6373"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yann Connan","raw_affiliation_strings":["information, \u00c9cole Internationale des Sciences du Traitement de L'information, Paris, France"],"affiliations":[{"raw_affiliation_string":"information, \u00c9cole Internationale des Sciences du Traitement de L'information, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069053430","display_name":"Shaun Frost","orcid":"https://orcid.org/0000-0002-1681-8224"},"institutions":[{"id":"https://openalex.org/I4210141844","display_name":"Australian e-Health Research Centre","ror":"https://ror.org/04ywhbc61","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801244131","https://openalex.org/I2801453606","https://openalex.org/I4210141844","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shaun Frost","raw_affiliation_strings":["Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Australia"],"affiliations":[{"raw_affiliation_string":"Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Australia","institution_ids":["https://openalex.org/I4210141844","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107354572","display_name":"Yogesan Kanagasingam","orcid":null},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I4210141844","display_name":"Australian e-Health Research Centre","ror":"https://ror.org/04ywhbc61","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801244131","https://openalex.org/I2801453606","https://openalex.org/I4210141844","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yogesan Kanagasingam","raw_affiliation_strings":["Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Australia"],"affiliations":[{"raw_affiliation_string":"Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Perth, Australia","institution_ids":["https://openalex.org/I4210141844","https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052524544"],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":null,"apc_paid":null,"fwci":0.7709,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76365208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9983999729156494,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9940999746322632,"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-network","display_name":"Convolutional neural network","score":0.832764208316803},{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.8260976672172546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810648679733276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6614664196968079},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6579553484916687},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.532416582107544},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4945373237133026},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4801773130893707},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4700060486793518},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45285820960998535},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4415220320224762},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4397229254245758},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3458941578865051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3237190842628479},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11167064309120178},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.09987819194793701},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09230837225914001}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.832764208316803},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.8260976672172546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810648679733276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6614664196968079},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6579553484916687},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.532416582107544},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4945373237133026},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4801773130893707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4700060486793518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45285820960998535},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4415220320224762},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4397229254245758},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3458941578865051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3237190842628479},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11167064309120178},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.09987819194793701},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09230837225914001},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta51227.2020.9363369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W164074455","https://openalex.org/W1849277567","https://openalex.org/W1997259062","https://openalex.org/W2034786340","https://openalex.org/W2054928682","https://openalex.org/W2081178133","https://openalex.org/W2085022206","https://openalex.org/W2108824200","https://openalex.org/W2124460576","https://openalex.org/W2129098176","https://openalex.org/W2133059825","https://openalex.org/W2159395868","https://openalex.org/W2282821441","https://openalex.org/W2293295816","https://openalex.org/W2516809705","https://openalex.org/W2531409750","https://openalex.org/W2566399142","https://openalex.org/W2773612948","https://openalex.org/W2801606501","https://openalex.org/W2890068671","https://openalex.org/W2938600289","https://openalex.org/W2962858109","https://openalex.org/W2966297403","https://openalex.org/W6639204139"],"related_works":["https://openalex.org/W4205257730","https://openalex.org/W3047257194","https://openalex.org/W2952813363","https://openalex.org/W2911497689","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W2972076240","https://openalex.org/W3167930666"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2],"(CNN)-based":[3],"methods":[4,15],"have":[5],"achieved":[6],"state-of-the-art":[7],"performance":[8],"in":[9,72,127,135],"glaucoma":[10,47,84,99],"detection.":[11,138],"Despite":[12],"this,":[13],"these":[14],"are":[16,28,79],"often":[17],"criticized":[18],"for":[19,98],"offering":[20],"no":[21],"opportunity":[22],"to":[23,46,53,64],"understand":[24],"how":[25],"classification":[26],"decisions":[27],"made.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"develop":[34,58],"an":[35,120],"innovative":[36],"visualization":[37],"strategy":[38],"that":[39,88],"allows":[40],"the":[41,67,73,89,93,111,128,136],"inherent":[42],"image":[43,69],"features":[44,70],"contributing":[45,68],"detection":[48,75,100],"at":[49],"different":[50],"CNN":[51],"layers":[52],"be":[54],"understood.":[55],"We":[56],"also":[57,130],"a":[59,132],"set":[60],"of":[61,107,124],"interpretable":[62],"notions":[63],"better":[65],"comprehend":[66],"involved":[71],"disease":[74,137],"process.":[76],"Extensive":[77],"experiments":[78],"conducted":[80],"on":[81],"publicly":[82],"available":[83],"datasets.":[85],"Results":[86],"show":[87],"optic":[90],"cup":[91],"is":[92],"most":[94],"influential":[95],"ocular":[96],"component":[97],"(overall":[101],"Intersection":[102],"over":[103],"Union":[104],"(IoU)":[105],"score":[106,117,123],"0.18),":[108],"followed":[109],"by":[110],"neuro-retinal":[112],"rim":[113],"(NR)":[114],"with":[115],"IoU":[116,122],"0.17.":[118],"With":[119],"overall":[121],"0.16":[125],"vessels":[126],"photograph":[129],"play":[131],"considerable":[133],"role":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
