Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …

Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US
image segmentation is crucial in image analysis. Recently, deep learning-based methods …

Anisotropic diffusion filtering is highly dependent on some crucial parameters, such as the
conductance function, the gradient threshold parameter and the stopping time of the iterative …

This work investigates the medical image denoising (MID) application of the dual denoising
network (DudeNet) model for chest X-ray (CXR). The DudeNet model comprises four …

Present study proposes a computer-aided diagnostic system to assist radiologists in
identifying focal liver lesions in B-mode ultrasound images. The proposed system can be …

The advent of computer aided technologies image processing techniques have become
increasingly important in a wide variety of medical applications. Intervention between the …

Chronic liver diseases are fifth leading cause of fatality in developing countries. Their early
diagnosis is extremely important for timely treatment and salvage life. To examine …

Due to the low contrast and ambiguous boundaries of the tumors in breast ultrasound (BUS)
images, it is still a challenging task to automatically segment the breast tumors from the …

Wavelet transform (WT) is a commonly used method for noise suppression and feature
extraction from biomedical images. The selection of WT system settings significantly affects …

Diffuse liver diseases, such as hepatitis, fatty liver, and cirrhosis, are becoming a leading
cause of fatality and disability all over the world. Early detection and diagnosis of these …