{"id":"https://openalex.org/W4296550721","doi":"https://doi.org/10.1142/s0219467824500098","title":"Deer Hunting Optimization with 3D-Convolutional Neural Network for Diabetic Retinopathy Classification Model","display_name":"Deer Hunting Optimization with 3D-Convolutional Neural Network for Diabetic Retinopathy Classification Model","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4296550721","doi":"https://doi.org/10.1142/s0219467824500098"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467824500098","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467824500098","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5011294933","display_name":"Sesikala Bapatla","orcid":"https://orcid.org/0000-0002-9997-8978"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]},{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sesikala Bapatla","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh 522237, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh 522237, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086603292","display_name":"Jonnadula Harikiran","orcid":"https://orcid.org/0000-0001-5662-2122"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]},{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Harikiran","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh 522237, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University, Amaravati, Andhra Pradesh 522237, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5086603292"],"corresponding_institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17117936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"01","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":0.9991999864578247,"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":0.9991999864578247,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.781401515007019},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7431399822235107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7332067489624023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232237458229065},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6070532202720642},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5713378190994263},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47821375727653503},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4536905884742737},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3725932836532593},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.37052497267723083},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.28337937593460083},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1687864065170288}],"concepts":[{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.781401515007019},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7431399822235107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7332067489624023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232237458229065},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6070532202720642},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5713378190994263},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47821375727653503},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4536905884742737},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3725932836532593},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.37052497267723083},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.28337937593460083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1687864065170288}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467824500098","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467824500098","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2778306876","https://openalex.org/W2898934708","https://openalex.org/W2907743631","https://openalex.org/W2919733445","https://openalex.org/W2998110586","https://openalex.org/W3005147719","https://openalex.org/W3010500903","https://openalex.org/W3013089354","https://openalex.org/W3025847621","https://openalex.org/W3045084177","https://openalex.org/W3047399449","https://openalex.org/W3091199344","https://openalex.org/W3095552923","https://openalex.org/W3118677001","https://openalex.org/W3120995853","https://openalex.org/W3153976901","https://openalex.org/W3154135352","https://openalex.org/W3156316671","https://openalex.org/W3163585642","https://openalex.org/W3165183789","https://openalex.org/W3192125695","https://openalex.org/W3194982898","https://openalex.org/W4200562297"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2165297163","https://openalex.org/W2015321244","https://openalex.org/W2256021896","https://openalex.org/W2107891138","https://openalex.org/W4309786676","https://openalex.org/W2122866860","https://openalex.org/W2024449420","https://openalex.org/W3084145657","https://openalex.org/W2398368608"],"abstract_inverted_index":{"A":[0],"retina":[1],"disease":[2],"caused":[3],"by":[4,167],"high":[5],"glucose":[6],"levels":[7],"in":[8,55,147],"the":[9,18,41,95,110,118,125,128,138,152,162],"blood":[10],"is":[11,17,51,69,98,114,121,134],"called":[12],"Diabetic":[13],"Retinopathy":[14],"(DR)":[15],"and":[16,30,34,73,90,149,174],"world\u2019s":[19],"leading":[20],"cause":[21],"of":[22,43,94],"blindness.":[23],"To":[24],"avoid":[25],"or":[26],"delay":[27],"vision":[28],"degradation":[29],"loss,":[31],"early":[32],"diagnosis":[33],"treatment":[35],"are":[36,144],"required.":[37],"As":[38],"a":[39,58,102],"result,":[40],"creation":[42],"an":[44],"automated":[45],"method":[46],"for":[47,71],"accurate":[48],"DR":[49,75,96,140,154],"identification":[50],"essential.":[52],"For":[53],"this,":[54],"this":[56],"paper,":[57],"3D-Convolution":[59],"Neural":[60],"Network":[61],"(3D-CNN)":[62],"with":[63],"Deer":[64],"Hunting":[65],"Optimization":[66],"(DHO)":[67],"algorithm":[68],"proposed":[70,78],"detecting":[72],"classifying":[74],"images.":[76],"The":[77,92,142,157],"3D-CNN-DHO":[79,163],"approach":[80],"includes":[81],"four":[82],"phases":[83],"such":[84],"as":[85],"pre-processing,":[86],"segmentation,":[87],"feature":[88],"extraction,":[89],"classification.":[91],"contrast":[93],"image":[97],"first":[99],"improved":[100],"using":[101],"Contrast-Limited":[103],"Adaptive":[104],"Histogram":[105],"Equalization":[106],"(CLAHE)":[107],"approach.":[108],"Subsequently,":[109],"threshold-based":[111],"effective":[112],"segmentation":[113],"carried":[115,145],"out.":[116],"Then,":[117],"Resnet50":[119],"model":[120,133],"implemented":[122,135],"to":[123,136],"extract":[124],"features":[126],"from":[127],"image.":[129],"Finally,":[130],"3D-CNN-DHO-based":[131],"classifier":[132],"categorize":[137],"various":[139],"stages.":[141],"experiments":[143],"out":[146],"detail":[148],"evaluated":[150],"on":[151],"Messidor":[153],"benchmark":[155],"dataset.":[156],"acquired":[158],"experimental":[159],"result":[160],"demonstrated":[161],"model\u2019s":[164],"outstanding":[165],"qualities":[166],"achieving":[168],"optimal":[169],"specificity,":[170],"sensitivity,":[171],"recall,":[172],"precision,":[173],"accuracy.":[175]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
