Background The superior soft tissue contrast of magnetic resonance imaging (MRI) compared to computed tomography (CT) has urged the integration of MRI and exclusion of CT in prostate radiotherapy treatment, referred to as an MRI-only workflow. Such a workflow can eliminate image registration errors between the CTand MR-images but incorporates multiple challenges. MR-images lack electron density...

Deep Learning (DL) is the most widely used image-analysis process, especially in medical image processing. Though DL has entered processing to solve Machine (ML) problems, identifying suitable model based on evaluation of epochs still an open question for scholars field. There are so many types function approximators like Decision Tree, Gaussian Processes and Learning, multi-layered Neural Netw...

The unprecedented improvements in computing capabilities and the introduction of advanced techniques for analysis, interpretation, processing, visualization images have greatly diversified domain medical sciences resulted field imaging. Magnetic Resonance Imaging (MRI), an imaging technique, is capable producing high quality human body including brain diagnosis purposes. This paper proposes a s...

Image processing techniques are used to extract meaningful information from medical images. A major concern in denoising low-field MR brain images is the poor quality images secondary to a worsening signal-to-noise ratio (SNR) compared with the high-field MRI scanners. Low-field Magnetic Resonance Imaging (MRI) is vital in sensitive surgeries to allow real-time imaging in the operation theatre....

early detection of breast cancer is the most effective way to improve the survival rate in women. magnetic resonance imaging (mri) offers high spatial resolution and good anatomic details, and its lower sensitivity can be improved by using targeted molecular imaging. in this study, as1411 aptamer was conjugated to fe3o4@au nanoparticles for specific targeting of 4t1 cells that overexpress nucle...