Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans

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Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search

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Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation

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Object Classification in an Ultrasound Video Using LP-SIFT Features

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Classification of Medical Images Using Data Mining Techniques

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A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation

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Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests

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Attention gated networks: learning to leverage salient regions in medical images

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SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

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Machine learning for medical ultrasound: status, methods, and future opportunities

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Machine Learning in Fetal Cardiology: What to Expect

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A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition

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Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning

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Artificial intelligence in obstetric ultrasound: A scoping review.

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Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks

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A Deep Learning Solution for Automatic Fetal Neurosonographic Diagnostic Plane Verification Using Clinical Standard Constraints

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Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks

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Transforming obstetric ultrasound into data science using eye tracking, voice recording, transducer motion and ultrasound video

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Use of artificial intelligence in obstetrics: Not quite ready for prime time

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Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos

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Improving Fetal Head Contour Detection by Object Localisation with Deep Learning

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RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease

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Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis

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Clinical workflow of sonographers performing fetal anomaly ultrasound scans: Deep-learning-based analysis

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Visual Search and the Collapse of Categorization.

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