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Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks
Assessment of fetal cardiac activity is essential to confirm pregnancy viability in obstetric ultrasound. However, automated detection and... -
Automatic Shadow Detection in 2D Ultrasound Images
Automatically detecting acoustic shadows is of great importance for automatic 2D ultrasound analysis ranging from anatomy segmentation to landmark... -
Multiple Landmark Detection Using Multi-agent Reinforcement Learning
The detection of anatomical landmarks is a vital step for medical image analysis and applications for diagnosis, interpretation and guidance. Manual... -
Deep Learning-Based Universal Beamformer for Ultrasound Imaging
In ultrasound (US) imaging, individual channel RF measurements are back-propagated and accumulated to form an image after applying specific delays.... -
Ultrasound tissue classification: a review
Ultrasound imaging is the most widespread medical imaging modality for creating images of the human body in clinical practice. Tissue classification...
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Can Dilated Convolutions Capture Ultrasound Video Dynamics?
Automated analysis of free-hand ultrasound video sweeps is an important topic in diagnostic and interventional imaging, however, it is a notoriously... -
Application of Geometric Modeling in Visualizing the Medical Image Dataset
Geometric modeling is a research based on computational geometry for processing the 3D objects in computer graphics or image processing. Rendering...
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Medical Image Analysis Using Deep Learning: A Systematic Literature Review
The field of big data analytics has started playing a vital role in the advancement of Medical Image Analysis (MIA) over the last decades very... -
The Metavisual
To this point, we have examined issues surrounding the models of communication inscribed within images as well as the conflicts in terms of presence... -
Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks
Fetal mid-pregnancy scans are typically carried out according to fixed protocols. Accurate detection of abnormalities and correct biometric... -
Visualization of Medical Images Data Based on Geometric Modeling
The methods for visualizing data are considered as the graphical representation of information and data. These data are first analyzed and computed... -
A deep learning based review on abdominal images
Computer-aided diagnosis have stumbled rapidly in the last few years. One of foremost step in computer-aided diagnosis is organ classification and...
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Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
The concept of deep learning originates from artificial neural networks which has become a very popular research area during the past few decades....
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Volumetric Clip** Surface: Un-occluded Visualization of Structures Preserving Depth Cues into Surrounding Organs
Anatomies of interest are often hidden within data. In this paper, we address the limitations of visualizing them with a novel dynamic non-planar... -
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion
This paper aims to solve a fundamental problem in intensity-based 2D/3D registration, which concerns the limited capture range and need for very good... -
Perception
The English activist and poet John Milton once wrote, “The mind is its own place, and in itself, can make a Heav’n of Hell, a Hell of Heav’n.” He... -
Understanding and Generating Ultrasound Image Description
To understand the content of ultrasound images more conveniently and more quickly, in this paper, we propose a coarse-to-fine ultrasound image...
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Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS
In recent years there is growing interest in studying the placenta in vivo. However, 3D ultrasound images (3DUS) are typically very noisy, and the... -
Towards Automatic Semantic Segmentation in Volumetric Ultrasound
3D ultrasound is rapidly emerging as a viable imaging modality for routine prenatal examinations. However, lacking of efficient tools to decompose... -
Refractive Two-View Reconstruction for Underwater 3D Vision
Recovering 3D geometry from cameras in underwater applications involves the Refractive Structure-from-Motion problem where the non-linear distortion...