{"id":"https://openalex.org/W4376479357","doi":"https://doi.org/10.1145/3571600.3571637","title":"Analysis of Amniotic fluid in fetal assessment using Biophysical Profile Images","display_name":"Analysis of Amniotic fluid in fetal assessment using Biophysical Profile Images","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4376479357","doi":"https://doi.org/10.1145/3571600.3571637"},"language":"en","primary_location":{"id":"doi:10.1145/3571600.3571637","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5101751474","display_name":"R. Tamilselvi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tamilselvi","raw_affiliation_strings":["ECE, SETHU INSTITUTE OF TECHNOLOGY, IN and \rECE, SETHU INSTITUTE OF TECHNOLOGY, India"],"affiliations":[{"raw_affiliation_string":"ECE, SETHU INSTITUTE OF TECHNOLOGY, IN and \rECE, SETHU INSTITUTE OF TECHNOLOGY, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411567","display_name":"SEENI MOHAMED ALIAR MARAIKKAYAR S M","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SEENI MOHAMED ALIAR MARAIKKAYAR S M","raw_affiliation_strings":["ECE, SETHU INSTITUTE OF TECHNOLOGY, India"],"affiliations":[{"raw_affiliation_string":"ECE, SETHU INSTITUTE OF TECHNOLOGY, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030751785","display_name":"M. Parisa Beham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"PARISA BEHAM","raw_affiliation_strings":["ECE, SETHU INSTITUTE OF TECHNOLOGY, India"],"affiliations":[{"raw_affiliation_string":"ECE, SETHU INSTITUTE OF TECHNOLOGY, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101975758","display_name":"S. Kannan","orcid":"https://orcid.org/0000-0001-7608-1802"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SHANMUGAPRIYA KANNAN","raw_affiliation_strings":["ECE, SETHU INSTITUTE OF TECHNOLOGY, India"],"affiliations":[{"raw_affiliation_string":"ECE, SETHU INSTITUTE OF TECHNOLOGY, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101751474"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26812931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.9577000141143799,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sonographer","display_name":"Sonographer","score":0.9114807844161987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685104966163635},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5528540015220642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5476824045181274},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49880290031433105},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.45788896083831787},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.45759162306785583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4012327194213867},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.18699824810028076},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16614040732383728},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1204058825969696}],"concepts":[{"id":"https://openalex.org/C2778941581","wikidata":"https://www.wikidata.org/wiki/Q11251722","display_name":"Sonographer","level":3,"score":0.9114807844161987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685104966163635},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5528540015220642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5476824045181274},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49880290031433105},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.45788896083831787},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.45759162306785583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4012327194213867},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.18699824810028076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16614040732383728},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1204058825969696},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3571600.3571637","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571600.3571637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing","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":7,"referenced_works":["https://openalex.org/W2700917049","https://openalex.org/W2890559952","https://openalex.org/W2958107826","https://openalex.org/W2963220672","https://openalex.org/W3026321879","https://openalex.org/W3028433770","https://openalex.org/W3102105287"],"related_works":["https://openalex.org/W3047805102","https://openalex.org/W2526371571","https://openalex.org/W4307493836","https://openalex.org/W2160946342","https://openalex.org/W2064512321","https://openalex.org/W2005024658","https://openalex.org/W1966587116","https://openalex.org/W2013650048","https://openalex.org/W1972534295","https://openalex.org/W2782745614"],"abstract_inverted_index":{"The":[0,114,145],"assessment":[1],"of":[2,76,82,89,98,170],"prenatal":[3],"Amniotic":[4],"Fluid":[5],"Volume":[6],"(AFV)":[7],"is":[8,29,61,64,79,117],"critical":[9],"because":[10,81],"it":[11,34],"provides":[12],"essential":[13],"information":[14],"on":[15,25,36,45,130],"fetal":[16],"development":[17],"and":[18,31,55,70,96,103,122,135,173],"well-being,":[19],"including":[20],"perinatal":[21],"prognosis.":[22],"AFV":[23,60,77],"measurement,":[24],"the":[26,37,46,71,94,142,154,168],"other":[27],"hand,":[28],"time-consuming":[30],"patient-specific.":[32],"Furthermore,":[33,93],"depends":[35],"sonographer,":[38],"with":[39,161],"measurement":[40,78],"accuracy":[41],"ranging":[42],"substantially":[43],"depending":[44],"sonographer's":[47],"experience.":[48],"As":[49],"a":[50,136,162],"result,":[51],"developing":[52],"accurate,":[53],"resilient,":[54],"adaptable":[56],"methodologies":[57],"to":[58,66,118,140,157],"assess":[59],"essential.":[62],"Automation":[63],"expected":[65],"diminish":[67],"user-based":[68],"variability":[69],"sonographer":[72],"burden.":[73],"Nevertheless,":[74],"automation":[75],"problematic":[80],"several":[83],"confounding":[84],"variables,":[85],"making":[86],"precise":[87],"recognition":[88],"AF":[90,99],"pockets":[91,100],"challenging.":[92],"forms":[95],"sizes":[97],"are":[101,181],"unknown,":[102],"ultrasound":[104],"images":[105],"frequently":[106],"reveal":[107],"them":[108],"caused":[109],"by":[110],"missing":[111],"structural":[112],"boundaries.":[113],"suggested":[115],"approach":[116],"construct":[119],"an":[120,131],"Accurate":[121],"Efficient":[123],"Deep":[124],"Convolutional":[125],"Neural":[126],"Network":[127],"(AEDCN-Net)":[128],"predicated":[129],"intensive":[132],"preprocessing":[133],"phase":[134],"resourcefulness":[137],"model":[138],"structure":[139],"address":[141],"identified":[143],"challenges.":[144],"AEDCN-Net":[146],"uses":[147],"asymmetric":[148],"convolution-based":[149],"residual":[150],"skip":[151],"interconnections":[152],"in":[153],"processing":[155],"path":[156],"learn":[158],"feature":[159],"representations":[160],"broader":[163],"receptive":[164],"field":[165],"while":[166],"reducing":[167],"number":[169],"training":[171],"data":[172],"floating-point":[174],"operations":[175],"(FLOPs).":[176],"automatically":[177],"generated":[178],"when":[179],"manuscripts":[180],"processed":[182],"after":[183],"acceptance.":[184]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}