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A Composite Image Processing Technique to Enhance Segmentation of Ultrasound Images
In ultrasound images, the speckle noise phenomenon is a typical issue that limits the accuracy of the images obtained from any quantitative measurement. Noise elimination in ultrasound images in the pre-processing stage is an important step to make the ...
3D Binary Lesion Mask Parsing
Liver lesion segmentation is a key module for an automated liver disease diagnosis system. Numerous methods have been developed recently to produce accurate 3D binary lesion masks for CT scans. From the clinical perspective, it is thus important to be ...
Neural Rendering of Confocal Microscopy Images
We present a novel application of neural rendering methods to confocal microscopy. Neural rendering and implicit neural representations have developed at a remarkable pace, and are prevalent in modern 3D computer vision literature. However, they have ...
Reconstruction From Limited-Angle Projections Based on a Transformation
ABSTRACT
Limited angle computed tomography (CT) is common in medical and industrial applications where incomplete projection data can cause artifacts in the reconstructed image. we propose a new algorithm for reconstructing a density function , (an ...
Image Quality Improvement of Surveillance Camera Images by Learning-based Denoising Method Utilizing Noise2Noise
In recent years, the number of surveillance cameras installed has increased. Surveillance cameras need to be able to capture images even under poor shooting conditions such as low exposure. However, noise may be generated in the captured images under ...
An Improved Binary Tomography Reconstruction
In this paper, the binary tomographic reconstruction problem is considered. Binary tomography aims to reconstruct binary images from their projections. Possible applications can be the field of human X-ray angiography, where the aim is to reconstruct ...
Detection of Iron in Liver and Myocardial by Magnetic Resonance Imaging
Background: Magnetic Resonance Imaging (MRI) is a non-invasive modality used to detect the iron overload in the liver and myocardial . The aim of the current study was to assess both Liver Iron Concentration (LIC) and Myocardium Iron Concentration (MIC) ...
Improving Diagnostic Accuracy of Rheumatoid Arthritic by Image Generation Utilizing GAN
Rheumatoid arthritis is a disease that causes inflammation of joints, destruction of cartilage and bone, loss of joint function, and joint deformation if left untreated. Therefore, this paper proposes a system for detecting abnormalities in rheumatoid ...
Assessment of peak voltage accuracy and reproducibility of conventional X-radiography units in Palestine
Introduction: All components of diagnostic X-ray system must be committed to a periodic quality control program, in order to achieve accurate and quick diagnosis and low radiation dose to patients, which is the real purpose of medical imaging.
Aim and ...
Evaluating the Accuracy of 128-Section Multi-Detector Computed Tomography (MDCT) in Detecting Coronary Artery Stenosis
Catheter-Based Coronary Angiography (CCA) and computed tomography coronary angiography (CTCA) are both used in the diagnosis of coronary artery disease (CAD). The current study aims to evaluate the accuracy of CTCA compared to CCA as a gold standard to ...
A Quantitative Prospective Study for Whole Body- Diffusion MRI and PET-CT in Detection of Primary and Metastatic Malignant Lesions
The idea of an integrated nuclear medicine unit consisting of a PET-CT scanner with a practical source of radioisotopes such as a cyclotron to operate efficiently in Palestinian health system is almost impossible due to several reasons, mainly political ...
A Real-time, Visualization and Cloud-Linked Health Monitoring System for Disabled Elderly: Elderly Health Monitoring System
With the aging process, the prevalence of chronic diseases and the incidence of disability among the elderly has also increased rapidly. The disabled elderly who are in bed for a long time need long-term monitoring of physiological parameters because of ...
Comparison of Feature Selection Methods for Bottom-up of 1p/19q Co-deletion Prediction Performance in Grade 2 and 3 Gliomas
This study aimed to compare multiple feature selection methods that may bottom-up 1p/19q co-deletion prediction performances for grade 2 and 3 gliomas using random initialization, imagenet, and transfer-learned deep features to identify effective ...
Index Terms
- Proceedings of the 2022 5th International Conference on Digital Medicine and Image Processing