{"id":"https://openalex.org/W2890602145","doi":"https://doi.org/10.1109/icip.2018.8451753","title":"Automatic Optic Disk and Cup Segmentation of Fundus Images Using Deep Learning","display_name":"Automatic Optic Disk and Cup Segmentation of Fundus Images Using Deep Learning","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890602145","doi":"https://doi.org/10.1109/icip.2018.8451753","mag":"2890602145"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5015156471","display_name":"Venkata Gopal Edupuganti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Venkata Gopal Edupuganti","raw_affiliation_strings":["Bosch Research and Technology Centre, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Research and Technology Centre, Bangalore, India","institution_ids":["https://openalex.org/I4210151956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033930017","display_name":"Akshay Chawla","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshay Chawla","raw_affiliation_strings":["Bosch Research and Technology Centre, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Research and Technology Centre, Bangalore, India","institution_ids":["https://openalex.org/I4210151956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109853374","display_name":"Amit Kale","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Kale","raw_affiliation_strings":["Bosch Research and Technology Centre, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Research and Technology Centre, Bangalore, India","institution_ids":["https://openalex.org/I4210151956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015156471"],"corresponding_institution_ids":["https://openalex.org/I4210151956"],"apc_list":null,"apc_paid":null,"fwci":5.918,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.96938912,"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":"2227","last_page":"2231"},"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":0.9972000122070312,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9832000136375427,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8226225972175598},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7696554064750671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7561123371124268},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7495923042297363},{"id":"https://openalex.org/keywords/optic-cup","display_name":"Optic cup (embryology)","score":0.692037045955658},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6831268072128296},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.590779185295105},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5750996470451355},{"id":"https://openalex.org/keywords/optic-disc","display_name":"Optic disc","score":0.5154415369033813},{"id":"https://openalex.org/keywords/optic-disk","display_name":"Optic disk","score":0.5093687772750854},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.501072883605957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48638156056404114},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47961246967315674},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4427960216999054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4339444637298584},{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.35428953170776367},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.08338689804077148}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8226225972175598},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7696554064750671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561123371124268},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7495923042297363},{"id":"https://openalex.org/C96021297","wikidata":"https://www.wikidata.org/wiki/Q7098791","display_name":"Optic cup (embryology)","level":5,"score":0.692037045955658},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6831268072128296},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.590779185295105},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5750996470451355},{"id":"https://openalex.org/C2779735895","wikidata":"https://www.wikidata.org/wiki/Q16873995","display_name":"Optic disc","level":3,"score":0.5154415369033813},{"id":"https://openalex.org/C2983497740","wikidata":"https://www.wikidata.org/wiki/Q16873995","display_name":"Optic disk","level":3,"score":0.5093687772750854},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.501072883605957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48638156056404114},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47961246967315674},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4427960216999054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4339444637298584},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.35428953170776367},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.08338689804077148},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114696181","wikidata":"https://www.wikidata.org/wiki/Q5422650","display_name":"Eye development","level":4,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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":21,"referenced_works":["https://openalex.org/W629138888","https://openalex.org/W1614433159","https://openalex.org/W1804882088","https://openalex.org/W1901129140","https://openalex.org/W1997259062","https://openalex.org/W2054928682","https://openalex.org/W2104324599","https://openalex.org/W2108824200","https://openalex.org/W2110466716","https://openalex.org/W2141575807","https://openalex.org/W2163605009","https://openalex.org/W2177654152","https://openalex.org/W2243983247","https://openalex.org/W2395611524","https://openalex.org/W2513326255","https://openalex.org/W2513367050","https://openalex.org/W2607394097","https://openalex.org/W2919115771","https://openalex.org/W3098547059","https://openalex.org/W6620016164","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2779576471","https://openalex.org/W4319777531","https://openalex.org/W2081178133","https://openalex.org/W3131680944","https://openalex.org/W4323049326","https://openalex.org/W300732441","https://openalex.org/W2534129789","https://openalex.org/W2513292194","https://openalex.org/W3180652865","https://openalex.org/W2089257677"],"abstract_inverted_index":{"Automatic":[0],"segmentation":[1],"of":[2],"optic":[3,85],"disk":[4,86],"(OD)":[5],"and":[6,54,78,87],"cup":[7,88],"regions":[8,60],"in":[9,14],"fundus":[10],"images":[11],"is":[12],"essential":[13],"deriving":[15],"clinical":[16],"parameters,":[17],"such":[18,42],"as,":[19],"cup-to-disk":[20],"ratio":[21],"(CDR),":[22],"to":[23,40,49,58,81],"assist":[24],"glaucoma":[25],"diagnosis.":[26],"This":[27],"paper":[28],"presents":[29],"a":[30],"deep":[31],"learning":[32],"system":[33],"using":[34],"fully":[35],"convolutional":[36],"neural":[37,64],"networks":[38],"(FCN)":[39],"perform":[41],"segmentation,":[43,89],"discusses":[44],"various":[45],"strategies":[46],"on":[47,68,84],"how":[48],"leverage":[50],"multiple":[51],"doctor":[52],"annotations":[53],"prioritize":[55],"pixels":[56],"belonging":[57],"different":[59],"while":[61],"training":[62],"the":[63,73],"network.":[65],"Experimental":[66],"evaluations":[67],"Drishti-GS":[69],"dataset":[70],"demonstrate":[71],"that":[72],"presented":[74],"method":[75],"achieves":[76],"comparable":[77],"superior":[79],"F-score":[80],"prior":[82],"work":[83],"respectively.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}
