Extensive review of deep-learning algorithms in fetal ultrasound-image analysis. More than 140 papers covering various applications are reviewed.

Jan 28, 2022 · This paper ends with a critical summary of the current state of the art on DL algorithms for fetal US image analysis and a discussion on current ...

This paper ends with a critical summary of the current state of the art on DL algorithms for fetal US image analysis and a discussion on current challenges that ...

This Review provides a comprehensive explanation of the fundamentals of deep learning in fetal imaging, with particular focus on its clinical applicability.

Here studies wrap up with a condemning overview of the present date in Deep learning algorithms for fetal Ultrasound image processing and a conclusion of ...

List of references · Akkus, A survey of deep-learning applications in ultrasound: Artificial intelligence–powered ultrasound for improving clinical workflow, J.

Deep learning algorithms can be used to predict clinical outcomes or progression of a disease based on ultrasound imaging data. From Ref. [19–25], it can be ...

This work proposes a novel deep-learning method called EfficientU-Net for breast tumor segmentation in ultrasound (US) images

Deep-learning algorithms excel at image recognition, which makes them valuable in medical imaging. Obstetric ultrasound has become the gold standard imaging ...

Nov 27, 2022 · We describe in detail the application of DL in fetal imaging, focusing on the assessment of normal and abnormal fetal anatomy, biometric measurements and ...