Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a
sequence of images to recognize content, has been used extensively across industries in …

With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …

Simple Summary Cancer remains one of the leading causes of death worldwide, which
emphasizes the need for its early and accurate diagnosis and prognosis. Our review …

The recent advancements in automated lung cancer diagnosis through the application of
Convolutional Neural Networks (CNN) on Computed Tomography (CT) scans have marked …

In addition to enhancing diagnostic accuracy, deep learning techniques offer the potential to
streamline workflows, reduce interpretation time, and ultimately improve patient outcomes …

Breast cancer is the most common malignant tumor among women worldwide and remains
one of the leading causes of death among women. Its incidence and mortality rates are …

Background The necessity of prompt and accurate brain tumor diagnosis is unquestionable
for optimizing treatment strategies and patient prognoses. Traditional reliance on Magnetic …

Recently, artificial intelligence (AI)-based algorithms have revolutionized the medical image
segmentation processes. Thus, the precise segmentation of organs and their lesions may …

Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …

This review highlights the efficacy of combining federated learning (FL) and transfer learning
(TL) for cancer detection via image analysis. By integrating these techniques, research has …