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Showing 121-140 of 208 results
  1. 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...
    Conference paper 2017
  2. 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...
    Conference paper 2018
  3. 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...
    Athanasios Vlontzos, Amir Alansary, ... Bernhard Kainz in Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
    Conference paper 2019
  4. 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....
    Conference paper 2019
  5. 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...

    Caifeng Shan, Tao Tan, ... Di Huang in Artificial Intelligence Review
    Article 08 October 2020
  6. 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...
    Mohammad Ali Maraci, Weidi **e, J. Alison Noble in Machine Learning in Medical Imaging
    Conference paper 2018
  7. 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...

    Sinh Van Nguyen, Ha Manh Tran, Truong Son Le in SN Computer Science
    Article 09 August 2020
  8. 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...
    Conference paper 2019
  9. 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...
    Maria Giulia Dondero in The Language of Images
    Chapter 2020
  10. 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...
    Christian F. Baumgartner, Konstantinos Kamnitsas, ... Daniel Rueckert in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
    Conference paper 2016
  11. 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...
    Van Sinh Nguyen, Manh Ha Tran, Son Truong Le in Future Data and Security Engineering
    Conference paper 2019
  12. 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...

    Arshia Rehman, Fiaz Gul Khan in Multimedia Tools and Applications
    Article 03 September 2020
  13. 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....

    Saroj Kumar Pandey, Rekh Ram Janghel in Neural Processing Letters
    Article 09 January 2019
  14. 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...
    Bhavya Ajani, Aditya Bharadwaj, Karthik Krishnan in Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
    Conference paper 2018
  15. 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...
    Benjamin Hou, Amir Alansary, ... Bernhard Kainz in Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
    Conference paper 2017
  16. 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...
    Chapter 2018
  17. 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...

    **an-Hua Zeng, Bang-Gui Liu, Meng Zhou in Journal of Computer Science and Technology
    Article 12 September 2018
  18. 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...
    Conference paper 2018
  19. 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...
    Conference paper 2017
  20. 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...

    François Chadebecq, Francisco Vasconcelos, ... Danail Stoyanov in International Journal of Computer Vision
    Article Open access 18 November 2019
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