Medical Imaging

This cell images dataset is collected using an ultrafast imaging system known as asymmetric-detection time-stretch optical microscopy (ATOM)  for training and evaluation. This novel imaging approach can achieve label-free and high-contrast flow imaging with good cellular resolution images at a very high speed. Each acquired image belongs to one of the four classes: THP1, MCF7, MB231 and PBMC.

  • Biomedical and Health Sciences
  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Nan Meng, Edmund Lam, Tsia, Kevin Kin Man, So, Hayden Kwok-Hay

    Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies.  Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.

  • Biomedical and Health Sciences
  • Neuroscience
  • Medical Imaging
  • Biophysiological Signals
  • Brain
  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Jesus G. Cruz-Garza, Justin A Brantley, Sho Nakagome, Kim Kontson, Dario Robleto, Jose L. Contreras-Vidal

    The provided EEG data were acquired from sixteen healthy young adults (age range 22 - 30 years) with no history of neurological, physical, or psychiatric illness. All the participants were naive BCI users who had not participated in any related experiments before. Informed consents were received from all participants.  The study has been approved by the Institutional Research Ethics Committee of Nazarbayev University.  

     

  • Medical Imaging
  • Brain
  • Last Updated On: 
    Sun, 05/19/2019 - 08:11

    We present the first approach to automatically detect and track a needle in an endoscopic ultrasound (EUS) video. EUS is a fundamental medical procedure that is used extensively for biopsying targets in the upper gastro-intestinal tract. The approach enables various new applications for advancing EUS, including automatic EUS workflow analysis, automatic report generation, video summarization, technical skills assessment and quality indicator automation. Our approach does not require annotations of needles in videos, which is a laborious and demanding task.

  • Medical Imaging
  • Last Updated On: 
    Fri, 03/29/2019 - 07:00

    The dataset contains 208 patient scans that spread over three parts of anatomy(head, neck, and pelvis). The dataset aims to establish accurate anatomical correspondences between MegaVoltage Planar Digital Radio-graphs (MV-DRs) andKiloVoltage Digital Reconstructed Radiographs (KV-DRRs), which are widely used in Image-Guided Radiation Therapy (IGRT) to verify patients’ positions for accurate radiotherapy delivery.

  • Medical Imaging
  • Last Updated On: 
    Fri, 03/22/2019 - 10:43

    This study investigated possible long-term cardiotoxicity-related left-ventricular (LV) contractile dysfunction in breast cancer patients who had treatment with anti-neoplastic chemotherapy agents (CTA). An automated cardiac contractility analysis tool consisting of quantization-based boundary detection and meshfree Radial Point Interpolation Method-based numerical analysis measured torsion and 3D strains for comparisons to healthy subjects to investigate LV remodeling otherwise not indicated by LV ejection fraction (LVEF).

  • Medical Imaging
  • Last Updated On: 
    Mon, 03/11/2019 - 01:26

    Segmentation of ultrasound (US) images of cervical muscles is required for visualisation, analysis of deep, muscle structure and function, and monitoring of patient specific treatment protocols. The lack of publicly available labelled data, benchmark methods and results, hinders development of this domain. Here, we contribute a labelled dataset of 1,100 US images of the human posterior cervical muscles during head motion, from 28 healthy adults (19 male, mean 31.4, s.d.

  • Biomedical and Health Sciences
  • Medical Imaging
  • Last Updated On: 
    Fri, 03/01/2019 - 17:49

    Dataset for journal manuscript titled: "Robust Tracking of Organs with Cyclic Motion in Medical Images Using B-Splines of Fourier Based on Pair-Wise Image-Registration Displacement Fields."

  • Medical Imaging
  • Last Updated On: 
    Thu, 02/28/2019 - 03:38

    The DualModal2019 is a dual-modal fundus image dataset. It is for vessel, arteriole, and venule segmentation tasks. The dataset consists of five types of images: RGB color images, the 570 nm and 610 nm monochromic images, and the corresponding manually annotated ground truth images of the arterioles and venules.

  • Medical Imaging
  • Last Updated On: 
    Fri, 02/22/2019 - 01:07

    This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection in psychiatric classification.

    The datasets given in the Links section are reduced subsets of those contained in their respective tar files (a consequence of Mendeley Data's 10GB limitation).

    The Linked datasets (not the tar files) contain just the MATLAB file and the resting state image (or block-design fMRI for the MRN dataset), where appropriate.

  • Neuroscience
  • Medical Imaging
  • Signal Processing
  • Last Updated On: 
    Sun, 02/17/2019 - 13:07

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