In this paper, we address the problem of identifying brain haemorrhage which is considered
as a tedious task for radiologists, especially in the early stages of the haemorrhage. The …

The novel coronavirus, SARS‐CoV‐2, can be deadly to people, causing COVID‐19. The
ease of its propagation, coupled with its high capacity for illness and death in infected …

Intracranial hemorrhaging is considered a type of disease that affects the brain and is very
dangerous, with high-mortality cases if there is no rapid diagnosis and prompt treatment. CT …

Deep learning algorithms have recently been applied to solving challenging problems in
medicine such as medical image classification and analysis. In some areas, those …

This paper presents an automated classification of breast tissue using two machine learning
techniques: Feedforward neural network using the backpropagation learning algorithm …

Novel coronavirus (COVID-19) has been endangering human health and life since 2019.
The timely quarantine, diagnosis, and treatment of infected people are the most necessary …

The most commonly encountered problem in vision systems includes its capability to suffice
for different scenes containing the object of interest to be detected. Generally, the different …

Throughout the COVID-19 pandemic in 2019 and until now, patients overrun hospitals and
health care emergency units to check up on their health status. The health care systems …

The classification of cerebral hemorrhages in Computed Tomography (CT) scans using
Convolutional Neural Networks (CNNs) is a rapidly evolving field in medical imaging. Brain …

Tumors that have migrated to other regions of the body, particularly the breast, lung, bowel,
or prostate, usually develop secondary tumors in the eyes. Retinoblastoma in children and …