Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

Background Artificial intelligence (AI) has become a prominent technique for medical
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …

A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection
of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a …

Brain tumors are a deadly disease with a high mortality rate. Early diagnosis of brain tumors
improves treatment, which results in a better survival rate for patients. Artificial intelligence …

Brain tumor detection received much attention due to its clinical significance for early
treatment. Accurate diagnosis and classification of brain tumors are still challenging despite …

Diabetic retinopathy (DR) is a drastic disease. DR embarks on vision impairment when it is
left undetected. In this article, learning-based techniques are presented for the segmentation …

Knee osteoarthritis (KOA) is one of the deadliest forms of arthritis. If not treated at an early
stage, it may lead to knee replacement. That is why early diagnosis of KOA is necessary for …

A correct diagnosis of brain tumours is crucial to making an accurate treatment plan for
patients with the disease and allowing them to live a long and healthy life. Among a few …

Worldwide, more than 1.5 million deaths are occur due to liver cancer every year. The use of
computed tomography (CT) for early detection of liver cancer could save millions of lives per …

This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on components, challenges, applications and FL environment. FL can be applicable in …