Medical Imaging

Four cases of colposcopy data, which are Normal, CIN1, CIN2/3, Cervical Cancer respectively. (a) Sequential images photographed after applying acetic acid to the cervix uteri epithelium. (b) Image photographed after using green lens. (c) Image photographed applying compound iodine solution.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Zijie Yue, Shuai Ding, Weidong Zhao, Jie Ma

    For the development and evaluation of organ localization methods, we build a set of annotations of organ bounding boxes based on the MICCAI Liver Tumor Segmentation (LiTS) challenge dataset. Bounding boxes of 11 body organs are included:  heart (53/28), left lung (52/21), right lung (52/21), liver (131/70), spleen (131/70), pancreas (131/70), left kidney (129/70), right kidney (131/69), bladder (109/67), left femoral head (109/66) and right femoral head (105/66). The number in the parentheses indicates the number of the organs annotated in training and testing sets.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Mon, 04/15/2019 - 03:09
    Citation Author(s): 
    Xuanang Xu, Bo Liu, Fugen Zhou

    We make our dataset publicly avaiable. It consists of 50 H&E stained histopathology annotated images at the nuclei level. This dataset is ideal for those who want an exhaustive annotation of H&E breast cancer patient from a Tripple Negative Breast Cancer cohort.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas;

    Access the dataset for images of typical diabetic retinopathy lesions and also normal retinal structures annotated at a pixel level, focused on an Indian population. This dataset provides information on the disease severity of diabetic retinopathy, and diabetic macular edema for each image.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 11/13/2018 - 13:38

    Interventional applications of photoacoustic imaging typically require visualization of point-like targets, such as the small, circular, cross-sectional tips of needles, catheters, or brachytherapy seeds. When these point-like targets are imaged in the presence of highly echogenic structures, the resulting photoacoustic wave creates a reflection artifact that may appear as a true signal. We propose to use deep learning techniques to identify these type of noise artifacts for removal in experimental photoacoustic data.

  • Medical Imaging
  • Last Updated On: 
    Thu, 08/01/2019 - 21:49

    3D+t image real and synthetic  sequences of cells of the A549 lung adenocarcinoma cancer cell line, displaying three different phenotypes of CRMP-2, a protein involved in the assembly and disassembly of actin filaments. All real videos were acquired on aUltraviewERS (Perkin Elmer, Inc., Waltham, MA, USA), spinning disk confocal microscope, using the 488 nm line of an Ar/Kr laser to image the sample through a Plan-Apochromatic 63x 1.20 NA water immersion objective lens (Carl Zeiss, AG., Wetzlar, Germany). The videos contained one cell, imaged every two minutes duringone hour.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Carlos Castilla, Martin Maška, Dmitry V. Sorokin, Erik Meijering, Carlos Ortiz-de-Solórzano

    The investigation of the performance of different Positron Emission Tomography (PET) reconstruction and motion compensation methods requires an accurate and realistic representation of the anatomy and motion trajectories as observed in real subjects during acquisitions. The generation of well- controlled clinical datasets is difficult due to the many different clinical protocols, scanner specifications, patient sizes and physiological variations. Alternatively, computational phantoms can be used to generate large datasets for different disease states, providing a ground truth.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Polycarpou I, Soultanidis G and Tsoumpas C

    A database of lips traces
    Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Lip prints are unique and permanent for each individual, and next to the fingerprinting, dental identification, and DNA analysis can be one of the basis for criminal/forensics analysis.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Sat, 06/16/2018 - 23:18

    The class of registration methods proposed in the framework of Stokes Large Deformation
    Diffeomorphic Metric Mapping is a particularly interesting family of physically
    meaningful diffeomorphic registration methods.
    Stokes-LDDMM methods are formulated as a conditioned variational problem,
    where the different physical models are imposed using the associated partial differential equations
    as hard constraints.
    The most significant limitation of Stokes-LDDMM framework is its huge computational complexity.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Monica Hernandez

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