Medical Imaging

Optical coherence tomography angiography (OCTA) is a novel and high-profile imaging modality that allows a micron-level resolution to present the three-dimensional structure of retinal blood vessels and microvascular systems, and has become an essential tool for retinal vasculature research. 

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  • Medical Imaging
  • Last Updated On: 
    Mon, 12/23/2019 - 09:22

    CHALLENGE ON ULTRASOUND BEAMFORMING WITH DEEP LEARNING (CUBDL)

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  • Medical Imaging
  • Last Updated On: 
    Thu, 12/19/2019 - 08:08

    n/a

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  • Image Processing
  • Last Updated On: 
    Sat, 12/14/2019 - 05:18

    Some examples of the non-public data set ImageCLEF 2019 VQA-Med, including training, validation and test part.

    32 views
  • Medical Imaging
  • Last Updated On: 
    Wed, 11/27/2019 - 21:50

    This dataset was used to investigate numerical methods of integration of the Frenet-Serret equations as applied to the study of vessel shape.  This data is a compliation of previously published data from the following papers:

    A. V. Kamenskiy, J. N. MacTaggart, I. I. Pipinos, et al., “Three-dimensional geometry of the human carotid artery,” Journal of Biomechanical Engineering, vol. 134, no. 6, p. 064592, 2012.

    29 views
  • Medical Imaging
  • Last Updated On: 
    Fri, 11/22/2019 - 16:00

    Features Extracted from BraTS 2012-2013

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  • Artificial Intelligence
  • Last Updated On: 
    Thu, 11/21/2019 - 12:55

    An accurate analysis of fluid–structure interaction (FSI) at compliant arteries via ultrasound (US) imaging and numerical modeling is a limitation of several studies. In this study, we propose a deep learning-based boundary detection and compensation (DL-BDC) technique that can segment vessel boundaries by harnessing the convolutional neural network and wall motion compensation in near-wall flow dynamics. The segmentation performance of the technique is evaluated through numerical simulations with synthetic US images and in vitro experiments.

    81 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 11/08/2019 - 11:13

    The presented database contains thermal images (thermograms) of the plantar region. The database was obtained from 122 subjects with a diabetes diagnosis (DM group) and 45 non-diabetic subjects (control group). The relevance of this database consists in to study how the temperature is distributed in the plantar region of both groups and how their differences can be measured. Previous reports in the literature have established that an increase in the plantar temperature is associated with a higher ulceration risk.

    683 views
  • Image Processing
  • Last Updated On: 
    Thu, 12/12/2019 - 13:41

    This dataset contains 91 computed tomography pulmonary angiograms positive for pulmonary embolism. At least one experience radiologist has segmented all clots in each of the scans. The dataset was originated for the ISBI challenge cad-pe.

    102 views
  • Medical Imaging
  • Last Updated On: 
    Thu, 10/17/2019 - 10:25

    The purpose of this challenge is to provide standardization of methods for assessing and benchmarking deep learning approaches to ultrasound image formation from ultrasound channel data that will live beyond the challenge.

  • Artificial Intelligence
  • Machine Learning
  • Medical Imaging
  • Signal Processing
  • Last Updated On: 
    Mon, 12/09/2019 - 15:02

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