{"id":"https://openalex.org/W3215316891","doi":"https://doi.org/10.1007/s11277-021-09397-w","title":"Classification of Amniotic Fluid Level Using Bi-LSTM with Homomorphic filter and Contrast Enhancement Techniques","display_name":"Classification of Amniotic Fluid Level Using Bi-LSTM with Homomorphic filter and Contrast Enhancement Techniques","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W3215316891","doi":"https://doi.org/10.1007/s11277-021-09397-w","mag":"3215316891"},"language":"en","primary_location":{"id":"doi:10.1007/s11277-021-09397-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11277-021-09397-w","pdf_url":null,"source":{"id":"https://openalex.org/S49967189","display_name":"Wireless Personal Communications","issn_l":"0929-6212","issn":["0929-6212","1572-834X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Personal Communications","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/A5006155860","display_name":"R. Ramya","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"R. Ramya","raw_affiliation_strings":["Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101935749","display_name":"K. Srinivasan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Srinivasan","raw_affiliation_strings":["Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006155860"],"corresponding_institution_ids":[],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.6364,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72025236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"124","issue":"2","first_page":"1123","last_page":"1150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.9459999799728394,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.9459999799728394,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7408492565155029},{"id":"https://openalex.org/keywords/homomorphic-filtering","display_name":"Homomorphic filtering","score":0.6692726016044617},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.6604709625244141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6527681350708008},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.611096203327179},{"id":"https://openalex.org/keywords/amniotic-fluid","display_name":"Amniotic fluid","score":0.5782462954521179},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5766122937202454},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5028485655784607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4577149450778961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42452406883239746},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4182339310646057},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4157184064388275},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38105177879333496},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2860260605812073},{"id":"https://openalex.org/keywords/fetus","display_name":"Fetus","score":0.12069705128669739},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.11960262060165405},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.10630646347999573},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07843908667564392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408492565155029},{"id":"https://openalex.org/C56683213","wikidata":"https://www.wikidata.org/wiki/Q4143008","display_name":"Homomorphic filtering","level":4,"score":0.6692726016044617},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.6604709625244141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6527681350708008},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.611096203327179},{"id":"https://openalex.org/C2778194526","wikidata":"https://www.wikidata.org/wiki/Q901674","display_name":"Amniotic fluid","level":4,"score":0.5782462954521179},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5766122937202454},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5028485655784607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4577149450778961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42452406883239746},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4182339310646057},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4157184064388275},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38105177879333496},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2860260605812073},{"id":"https://openalex.org/C172680121","wikidata":"https://www.wikidata.org/wiki/Q26513","display_name":"Fetus","level":3,"score":0.12069705128669739},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.11960262060165405},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.10630646347999573},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07843908667564392},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11277-021-09397-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11277-021-09397-w","pdf_url":null,"source":{"id":"https://openalex.org/S49967189","display_name":"Wireless Personal Communications","issn_l":"0929-6212","issn":["0929-6212","1572-834X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Personal Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2041677481","https://openalex.org/W2500815657","https://openalex.org/W2514386643","https://openalex.org/W2588987384","https://openalex.org/W2600206176","https://openalex.org/W2739836671","https://openalex.org/W2754228587","https://openalex.org/W2763619760","https://openalex.org/W2773164681","https://openalex.org/W2888882657","https://openalex.org/W2890036760","https://openalex.org/W2905424738","https://openalex.org/W2923700253","https://openalex.org/W2940594171","https://openalex.org/W2943858452","https://openalex.org/W2968956710","https://openalex.org/W2972535786","https://openalex.org/W2997814817","https://openalex.org/W3027793520","https://openalex.org/W3097961177","https://openalex.org/W3135762269"],"related_works":["https://openalex.org/W2162593906","https://openalex.org/W2387482914","https://openalex.org/W2385217229","https://openalex.org/W2302472796","https://openalex.org/W2376822833","https://openalex.org/W2393164332","https://openalex.org/W4319781082","https://openalex.org/W2015245117","https://openalex.org/W4320714744","https://openalex.org/W2765132264"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
