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

Abstract

Computer 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.

Keywords

• Computer-Aided Diagnosis
• Fetus Health
• Deep Learning
• Machine Learning
• Image Processing

Ultrason Görüntülerinden Fetus Sağlığının Bilgisayar Destekli Takibi: Bir İnceleme

Abstract

Bilgisayar destekli tanı yöntemleri, tıp uzmanlarına yıllardır fetüs sağlığını izlemek için yardımcı olmaktadır. Yeni yöntemlerin kullanılması, fetüsün sağlığının izlenmesinin yanı sıra anomalilerin tanısında da olumlu bir etki yaratmıştır. Bu çalışma ilk olarak fetüste anomalileri tanımlamak için kullanılan göstergeleri tanıtır ve geleneksel görüntü işleme, makine öğrenimi ve derin öğrenme gibi bilgisayar tabanlı yöntemler hakkında temel bilgiler verir. Daha sonra, ultrason görüntülerinden fetüs sağlığının izlenmesi ve anomali tespitinde yeni teknikler kullanan mevcut çalışmalara genel bir bakış verilmiştir. Son olarak, fetüs sağlığının bilgisayar destekli izlenmesi üzerine güncel tekniklerle ilgili ana zorluklar ve araştırmaların gelecekteki yönü özetlenmiştir.

Keywords

• Bilgisayar Destekli Tanı
• Fetüs Sağlığı
• Derin Öğrenme
• Makine Öğrenmesi
• Görüntü İşleme

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