{"id":"https://openalex.org/W3138601250","doi":"https://doi.org/10.3233/faia200055","title":"Optimized Tang\u2019s Algorithm for Retinal Image Registration","display_name":"Optimized Tang\u2019s Algorithm for Retinal Image Registration","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3138601250","doi":"https://doi.org/10.3233/faia200055","mag":"3138601250"},"language":"en","primary_location":{"id":"doi:10.3233/faia200055","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200055","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":null,"display_name":"Chakraborty Sayan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chakraborty Sayan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116360929","display_name":"Pradhan Ratika","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pradhan Ratika","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000975435","display_name":"Nilanjan Dey","orcid":"https://orcid.org/0000-0001-8437-498X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dey Nilanjan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068271733","display_name":"Amira S. Ashour","orcid":"https://orcid.org/0000-0003-3217-6185"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashour Amira S.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9336,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81156657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"142","last_page":"149"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9965999722480774,"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":0.9965999722480774,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9031000137329102,"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/retinal","display_name":"Retinal","score":0.5741669535636902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5242412686347961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.503614604473114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4864382743835449},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4707532525062561},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39114952087402344},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.3248337209224701},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15682852268218994}],"concepts":[{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5741669535636902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5242412686347961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.503614604473114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4864382743835449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4707532525062561},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39114952087402344},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.3248337209224701},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15682852268218994}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia200055","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia200055","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"},{"id":"mag:3138601250","is_oa":false,"landing_page_url":"https://ebooks.iospress.nl/volumearticle/53880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W4387265590","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W1995904975","https://openalex.org/W2989452537","https://openalex.org/W806426592"],"abstract_inverted_index":{"Medical":[0],"images":[1,18],"aligning":[2,35,50],"is":[3,60],"essential":[4],"due":[5],"to":[6,21,40],"the":[7,16,31,41,45,63,73,77,83,96,100,111],"existing":[8],"angular":[9],"rotation":[10],"and":[11,44,106,113],"translation":[12],"of":[13,30,62,79],"objects":[14,46],"inside":[15],"medical":[17,25],"which":[19],"leads":[20],"complex":[22],"post-processing.":[23],"Accordingly,":[24],"image":[26,38,52,67],"registration":[27,59,68,81],"becomes":[28],"one":[29,61],"key":[32],"tools":[33],"for":[34,94],"images.":[36,89,115],"In":[37,70],"registration,":[39],"images'":[42],"frames":[43],"are":[47],"transformed":[48],"by":[49],"each":[51],"with":[53],"its":[54],"corresponding":[55],"reference":[56],"one.":[57],"Demons":[58,80],"most":[64],"efficient":[65],"non-rigid":[66],"techniques.":[69],"this":[71],"paper,":[72],"proposed":[74,97],"system":[75],"optimized":[76],"parameters":[78],"using":[82],"firefly":[84],"optimization":[85],"algorithm":[86],"in":[87],"retinal":[88],"Several":[90],"metrics":[91],"were":[92],"measured":[93],"evaluating":[95],"model,":[98],"including":[99],"mean":[101],"square":[102],"error,":[103],"joint":[104],"entropy,":[105],"mutual":[107],"information":[108],"calculation":[109],"between":[110],"original":[112],"registered":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2021-03-29T00:00:00"}
