{"id":"https://openalex.org/W4415917101","doi":"https://doi.org/10.1080/10420150.2025.2581583","title":"Automating X-ray CT image analysis with deep learning: the case of hydrocephalus detection","display_name":"Automating X-ray CT image analysis with deep learning: the case of hydrocephalus detection","publication_year":2025,"publication_date":"2025-11-05","ids":{"openalex":"https://openalex.org/W4415917101","doi":"https://doi.org/10.1080/10420150.2025.2581583"},"language":"en","primary_location":{"id":"doi:10.1080/10420150.2025.2581583","doi":"https://doi.org/10.1080/10420150.2025.2581583","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10420150.2025.2581583","pdf_url":null,"source":{"id":"https://openalex.org/S201266914","display_name":"Radiation effects and defects in solids","issn_l":"1026-549X","issn":["1026-549X","1029-4953","1042-0150"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radiation Effects and Defects in Solids","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5092822400","display_name":"H. Sekkat","orcid":"https://orcid.org/0009-0005-1530-4837","observed_orcids":["https://orcid.org/0009-0005-1530-4837"]},"institutions":[{"id":"https://openalex.org/I4210094767","display_name":"Instituts Sup\u00e9rieurs des Professions Infirmi\u00e8res et Techniques de Sant\u00e9","ror":"https://ror.org/007h8y788","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210094767"]},{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Hamza Sekkat","raw_affiliation_strings":["Hassan First University","Higher Institute of Nursing Professions and Health Techniques"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hassan First University","institution_ids":["https://openalex.org/I4210145365"]},{"raw_affiliation_string":"Higher Institute of Nursing Professions and Health Techniques","institution_ids":["https://openalex.org/I4210094767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092891075","display_name":"Abdellah Khallouqi","orcid":"https://orcid.org/0009-0008-5050-748X","observed_orcids":["https://orcid.org/0009-0008-5050-748X"]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdellah Khallouqi","raw_affiliation_strings":["Hassan First University","Private Clinic Hay Mouhamadi","Public Hospital of Mediouna"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hassan First University","institution_ids":["https://openalex.org/I4210145365"]},{"raw_affiliation_string":"Private Clinic Hay Mouhamadi","institution_ids":[]},{"raw_affiliation_string":"Public Hospital of Mediouna","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103842421","display_name":"Omar El Rhazouani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Omar El rhazouani","raw_affiliation_strings":["Hassan First University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hassan First University","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112898353","display_name":"Abdellah Halimi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdellah Halimi","raw_affiliation_strings":["Hassan First University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hassan First University","institution_ids":["https://openalex.org/I4210145365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092822400"],"corresponding_institution_ids":["https://openalex.org/I4210094767","https://openalex.org/I4210145365"],"apc_list":null,"apc_paid":null,"fwci":0.4977,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55261387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"181","issue":"7-8","first_page":"1212","last_page":"1226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11406","display_name":"Cerebrospinal fluid and hydrocephalus","score":0.19429999589920044,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"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/T11406","display_name":"Cerebrospinal fluid and hydrocephalus","score":0.19429999589920044,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.1826000064611435,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.12559999525547028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/congenital-hydrocephalus","display_name":"congenital hydrocephalus","score":0.9779999852180481},{"id":"https://openalex.org/keywords/pediatric-head-ct","display_name":"pediatric head CT","score":0.9229999780654907},{"id":"https://openalex.org/keywords/cerebrospinal-fluid-accumulation","display_name":"cerebrospinal fluid accumulation","score":0.8870000243186951},{"id":"https://openalex.org/keywords/vgg16","display_name":"VGG16","score":0.8700000047683716},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7599999904632568},{"id":"https://openalex.org/keywords/automatic-image-classification","display_name":"automated image classification","score":0.5559999942779541},{"id":"https://openalex.org/keywords/infant-neuroimaging","display_name":"infant neuroimaging","score":0.5889999866485596},{"id":"https://openalex.org/keywords/medical-image-analysis","display_name":"medical image analysis","score":0.5659999847412109}],"concepts":[{"id":"https://openalex.org/C2778134817","wikidata":"https://www.wikidata.org/wiki/Q193003","display_name":"Hydrocephalus","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47859999537467957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46160000562667847},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43810001015663147},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.40939998626708984},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3682999908924103},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.35109999775886536},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10420150.2025.2581583","doi":"https://doi.org/10.1080/10420150.2025.2581583","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10420150.2025.2581583","pdf_url":null,"source":{"id":"https://openalex.org/S201266914","display_name":"Radiation effects and defects in solids","issn_l":"1026-549X","issn":["1026-549X","1029-4953","1042-0150"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radiation Effects and Defects in Solids","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9763000011444092}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1997866278","https://openalex.org/W2017711683","https://openalex.org/W2176950688","https://openalex.org/W2794518994","https://openalex.org/W2800922354","https://openalex.org/W2919115771","https://openalex.org/W2954747211","https://openalex.org/W3004319599","https://openalex.org/W3008795259","https://openalex.org/W3010398094","https://openalex.org/W3080698448","https://openalex.org/W3109556460","https://openalex.org/W3133461750","https://openalex.org/W4246020459","https://openalex.org/W4255392951","https://openalex.org/W4280503463","https://openalex.org/W4311255675","https://openalex.org/W4388461237","https://openalex.org/W4392973782","https://openalex.org/W4394818960","https://openalex.org/W4396517904","https://openalex.org/W4396885639","https://openalex.org/W4400873116","https://openalex.org/W4401949578","https://openalex.org/W4401980393","https://openalex.org/W4402513293"],"related_works":["https://openalex.org/W4311255675","https://openalex.org/W4408607512","https://openalex.org/W4415829274","https://openalex.org/W4393316953","https://openalex.org/W4214908332","https://openalex.org/W4400771552","https://openalex.org/W4280503463","https://openalex.org/W4411789178","https://openalex.org/W7154102964","https://openalex.org/W4221117703"],"abstract_inverted_index":{"Congenital":[0],"hydrocephalus":[1,76,166],"(HCP)":[2],"is":[3,57],"a":[4,32,78,94,147,174,197,203,224],"severe":[5],"neurological":[6],"condition":[7,30],"marked":[8],"by":[9],"the":[10,18,84,116,178,206,217],"abnormal":[11],"accumulation":[12],"of":[13,144,149,152,158,177,189,208,219],"cerebrospinal":[14],"fluid":[15],"(CSF)":[16],"within":[17],"brain's":[19],"ventricles,":[20],"often":[21],"leading":[22],"to":[23,46,114,135],"cognitive":[24],"impairments":[25],"if":[26],"left":[27],"untreated.":[28],"The":[29,91,118,139,170],"has":[31],"higher":[33],"prevalence":[34],"in":[35,60,163,196,205,216],"low-":[36],"and":[37,54,106,109,130,154,167,222,234],"middle-income":[38],"countries,":[39],"with":[40,126,146],"an":[41,72,142,155,187],"incidence":[42],"ranging":[43],"from":[44],"68":[45],"316":[47],"cases":[48],"per":[49],"100,000":[50],"live":[51],"births.":[52],"Early":[53],"accurate":[55],"diagnosis":[56],"critical,":[58],"particularly":[59],"infants,":[61],"where":[62],"traditional":[63],"imaging":[64],"methods":[65],"may":[66],"fall":[67],"short.":[68],"This":[69,200],"study":[70,171],"presents":[71],"approach":[73],"for":[74,132,211,226],"detecting":[75],"using":[77,181],"deep":[79,209],"learning":[80,210],"model":[81,92,140],"based":[82],"on":[83,122],"VGG16":[85,119],"Convolutional":[86],"Neural":[87],"Network":[88],"(CNN)":[89],"architecture.":[90],"used":[93],"dataset":[95],"comprising":[96],"13,600":[97],"pediatric":[98],"head":[99],"CT":[100],"images,":[101],"evenly":[102],"split":[103],"between":[104,165],"hydrocephalic":[105],"normal":[107],"cases,":[108],"employs":[110],"automatic":[111],"feature":[112],"extraction":[113],"classify":[115],"images.":[117],"model,":[120],"pre-trained":[121],"ImageNet,":[123],"was":[124],"adapted":[125],"custom":[127],"dense":[128],"layers":[129],"trained":[131],"five":[133],"epochs":[134],"optimize":[136],"its":[137,194],"performance.":[138],"achieved":[141],"accuracy":[143,233],"88.6%,":[145],"precision":[148],"75.2%,":[150],"recall":[151],"100%,":[153],"F1":[156],"score":[157],"86%,":[159],"demonstrating":[160],"promising":[161],"efficacy":[162],"distinguishing":[164],"non-hydrocephalus":[168],"cases.":[169],"also":[172],"includes":[173],"detailed":[175],"analysis":[176],"model's":[179],"predictions":[180],"confusion":[182],"matrix,":[183],"ROC":[184],"curve,":[185],"showing":[186],"AUC":[188],"1,":[190],"which":[191],"further":[192],"supports":[193],"potential":[195],"clinical":[198],"setting.":[199],"research":[201],"represents":[202],"step":[204],"use":[207],"medical":[212],"image":[213],"analysis,":[214],"specifically":[215],"context":[218],"congenital":[220],"hydrocephalus,":[221],"provides":[223],"foundation":[225],"future":[227],"studies":[228],"aimed":[229],"at":[230],"improving":[231],"diagnostic":[232],"patient":[235],"outcomes.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-11-05T00:00:00"}