Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …

The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …

Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy
specimens today. The current method is invasive, time-consuming and prone to manual …

Brain tumor classification is a challenging task in the field of medical image processing. The
present study proposes a hybrid method using Neutrosophy and Convolutional Neural …

White blood cells (WBC) are important parts of our immune system and they protect our body
against infections by eliminating viruses, bacteria, parasites and fungi. There are five types …

Automatic liver and tumour segmentation in CT images are crucial in numerous clinical
applications, such as postoperative assessment, surgical planning, and pathological …

Super-resolution, which is one of the trend issues of recent times, increases the resolution of
the images to higher levels. Increasing the resolution of a vital image in terms of the …

The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …

Brain tumors' diagnoses occur mainly by Magnetic resonance imaging (MRI) images. The
tissue analysis methods are used to define these tumors. Nevertheless, few factors like the …

White blood cell (WBC) test is used to diagnose many diseases, particularly infections,
ranging from allergies to leukemia. A physician needs clinical experience to detect and …