data mining, image processing, Medicine
Evaluating Dose Summation in Gynecological 95,000 women were estimated to be diagnosed with gynecological malignancies for 2014 alone. About 12,900 of these cases will be invasive cervical cancer . Approximately 54,870 new cases of cancer of the uterus will be...
data mining, image processing, Medicine
Introduction Most head and neck cancers (HNC) begin in squamous cells that line the moist surface inside the head and neck (HN). According to National Cancer Institute, HNC can begin in multiple sites and from different cells within a particular site . This type of...
image processing, Medicine
Computer-aided diagnosis (CAD) has become a vital part of medical evaluations and pathology detection in the United States [1]. Systematic use of CAD systems since 1980s has caused a significant change in the utilization of the computer output for...
image processing, Medicine
Haralick features Haralick features provide information on how the intensities of pixels in images of a certain position are related with the intensities of neighboring pixels. These features originated from the co-occurrence matrix. In the Cellprofiler used...
image processing, Medicine
CellProfiler is free open-source software or framework which enables pathologists and biologists who do not have specific knowledge in fields like computer vision, image processing and programming for quantitative measurement and evaluation of the phenotypes from...
data mining, image processing
In contrast with the unsupervised techniques, supervised learning methods require labeled ground truth data and pre-training to adapt the system to the task at hand, in this case vessel pixel segmentation. Supervised methods tend to follow the same pattern: the...
database of image, image processing, Medicine
Clinical Dose Reduction Strategies Some clinically used strategies for dose optimization will be briefly discussed in this subsection. It is notable that for dose optimization, the exam must be performed using doses that are As Low As Reasonably Achievable (ALARA),...
data mining, image processing
X-ray Dose measurement In this section we briefly review different definitions, units, and measurement methods of X-ray dose in CT imaging. Dose is a general term used to quantify how much radiation exposure aperson (or other material) has received. Radiation dose...
database of image, image processing
Diffusion Weighted Imaging The free diffusion of water due to Brownian motion forms the basis for the development of diffusion MRI. In 1965 Stejskal and Tanner published a landmark paper describing an MR spin-echo pulse sequence that allowed the detection of the...
data mining, image processing
Super-resolution for computed tomography based on discrete tomography In X-ray computed tomography, images are typically reconstructed on a voxel grid. Given that each voxel is represented by a constant grey level, it is typically assumed that the material...
image processing, MATLAB, MATLAB code
Introduction Basic Matlab/Scilab Instructions (ipynb|web) Introduction to Signal Processing (ipynb|web) Introduction to Image Processing (ipynb|web) Image Approximation with Fourier and Wavelets (ipynb|web) Image Processing with Wavelets (ipynb|web) Le...
image processing, MATLAB, MATLAB code
A standalone MATLAB implementation of Local Histogram Equalization using the Bilateral Grid. http://people.csail.mit.edu/jiawen/software/lhe-1.1.zip
image processing, MATLAB code
Image segmentation techniques can be used for separating the RBC, WBC and Platelets in an image. The prime reason for segmenting the image is to define the boundaries of the blood cells enabling features to be extracted without the inclusion of extraneous material....