Computer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review

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dc.contributor.authorAtas, Deniz
dc.contributor.authorYilmaz, Yonca Bayrakdar
dc.date.accessioned2025-01-27T20:29:50Z
dc.date.available2025-01-27T20:29:50Z
dc.date.issued2022
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractComputer aided diagnostic methods have been helping medical experts for monitoring fetus health for many years. The use of new methods has made a positive effect in monitoring the health of fetus as well as the diagnosis of anomalies. This study first introduces the indicators for identifying anomalies in fetus and gives basic information about computer-based methods such as traditional image processing, machine learning and deep learning. Then an overview of existing studies which use novel techniques on monitoring fetus health and anomaly detection from ultrasound images is given. Finally, the main challenges of novel techniques and future directions of research on computer-aided monitoring of fetus health are summarized
dc.identifier.doi10.26650/acin.1099106
dc.identifier.endpage302
dc.identifier.issn2602-3563
dc.identifier.issue2
dc.identifier.startpage283
dc.identifier.trdizinid1174903
dc.identifier.urihttps://doi.org/10.26650/acin.1099106
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1174903
dc.identifier.urihttps://hdl.handle.net/20.500.12428/23050
dc.identifier.volume6
dc.identifier.wosWOS:001318213500010
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherIstanbul Univ
dc.relation.ispartofActa Infologica
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectComputer-Aided Diagnosis
dc.subjectFetus Health
dc.subjectDeep Learning
dc.subjectMachine Learning
dc.subjectImage Processing
dc.titleComputer-Aided Monitoring of Fetus Health From Ultrasound Images: A Review
dc.typeReview Article

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