{"id":"https://openalex.org/W4407809761","doi":"https://doi.org/10.3233/978-1-61499-696-5-39","title":"Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals","display_name":"Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W4407809761","doi":"https://doi.org/10.3233/978-1-61499-696-5-39"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-696-5-39","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-696-5-39","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116362574","display_name":"Escorcia-Gutierrez Jos eacute","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Escorcia-Gutierrez José","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116362575","display_name":"Torrents-Barrena Jordina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Torrents-Barrena Jordina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038550083","display_name":"Pedro Romero\u2010Aroca","orcid":"https://orcid.org/0000-0002-7061-8987"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Romero-Aroca Pedro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025525181","display_name":"A\u0131\u0308da Valls","orcid":"https://orcid.org/0000-0003-3616-7809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valls Aida","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116362576","display_name":"Puig Dom egrave nec","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Puig Domènec","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5116362574"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69806094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9962000250816345,"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":0.9962000250816345,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9721999764442444,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9487000107765198,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.7759023904800415},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6187943816184998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5519883632659912},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5248472690582275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4590848982334137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4398314654827118},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37809842824935913},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32233181595802307},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.08724528551101685}],"concepts":[{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.7759023904800415},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6187943816184998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5519883632659912},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5248472690582275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4590848982334137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4398314654827118},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37809842824935913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32233181595802307},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.08724528551101685},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-696-5-39","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-696-5-39","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1964872188","https://openalex.org/W2187391117","https://openalex.org/W1981809986","https://openalex.org/W2949367465","https://openalex.org/W2587048717","https://openalex.org/W4235203617","https://openalex.org/W2006359264","https://openalex.org/W3029201158","https://openalex.org/W4794847","https://openalex.org/W2056357792"],"abstract_inverted_index":{"Diabetic":[0],"Retinopathy":[1],"(DR)":[2],"has":[3],"become":[4],"nowadays":[5],"a":[6,70,157],"considerable":[7],"world-wide":[8],"threat":[9],"due":[10],"to":[11,74,94,129,144],"increased":[12],"growth":[13],"of":[14,26,38,49,57,100,148,160],"blind":[15],"people":[16],"at":[17],"early":[18],"ages.":[19],"From":[20],"the":[21,24,55,61,76,81,88,96,101,103,112,131,136,146,149,161],"engineering":[22],"viewpoint,":[23],"detection":[25],"DR":[27],"pathologies":[28],"(microaneurysms,":[29],"hemorrhages":[30],"and":[31,66,119,134,165],"exudates)":[32],"through":[33,156],"computer":[34],"vision":[35],"techniques":[36,109],"is":[37,69],"prime":[39],"importance":[40],"in":[41],"medical":[42],"assistance.":[43],"Such":[44],"methodologies":[45],"outperform":[46],"traditional":[47],"screening":[48],"retinal":[50,67],"color":[51],"fundus":[52],"images.":[53],"Moreover,":[54],"identification":[56],"landmark":[58],"features":[59],"as":[60,111],"optic":[62],"disk":[63],"(OD),":[64],"fovea":[65],"vessels":[68,153],"key":[71],"pre-processing":[72,108],"step":[73],"detect":[75],"aforementioned":[77],"potential":[78],"pathologies.":[79],"In":[80],"same":[82],"vein,":[83],"this":[84],"paper":[85],"works":[86],"with":[87],"well-known":[89],"Convexity":[90],"Shape":[91],"Prior":[92],"algorithm":[93],"segment":[95],"main":[97],"anatomical":[98],"structure":[99],"retina,":[102],"OD.":[104,150],"At":[105],"first,":[106],"some":[107],"such":[110],"Contrast":[113],"Limited":[114],"Adaptive":[115],"Histogram":[116,124],"Equalization":[117,125],"(CLAHE)":[118],"Brightness":[120],"Preserving":[121],"Dynamic":[122],"Fuzzy":[123],"(BPDFHE)":[126],"are":[127,142,154],"applied":[128],"enhance":[130],"image":[132],"contrast":[133],"eliminate":[135],"artifacts.":[137],"Subsequently,":[138],"several":[139],"morphological":[140],"operations":[141],"performed":[143],"improve":[145],"post-segmentation":[147],"Finally,":[151],"blood":[152],"extracted":[155],"novel":[158],"fusion":[159],"average,":[162],"median,":[163],"Gaussian":[164],"Gabor":[166],"wavelet":[167],"filters.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}