Since the 20th century, cancer has been a growing threat to human health. Cancer is a
malignant tumor with high clinical morbidity and mortality, and there is a high risk of …

Federated Learning (FL) is an evolving machine learning method in which multiple clients
participate in collaborative learning without sharing their data with each other and the …

Over the last decades, deep learning-based algorithms have witnessed tremendous
progress in the medical field to assist pathologists in clinical decisions and reduce their …

Federated Learning (FL) is a decentralized machine learning framework that builds a shared
model by distributing training data across mobile devices and aggregating updates from …

Breast tumor detection and classification on the Internet of Medical Things (IoMT) can be
automated with the potential of Artificial Intelligence (AI). Deep learning models rely on large …

Medical images are private integrations comprising private patient information owned by
various hospitals and relevant research institutes, and the generated image data can be …

Breast cancer stands as the leading cause of mortality among women worldwide,
encompassing all types of cancer. It can affect women of all age groups post-puberty in any …

Colorectal cancer is the fourth fatal disease in the world, and the massive burden on the
pathologists related to the classification of precancerous and cancerous colorectal lesions …

Brain tumours are a deadly illness that kills many people. The earlier a brain tumour is
detected, the better the treatment, and the longer the patient lives. Artificial intelligence (AI) …

Lung cancer is one of the most common cancers worldwide. In 2020, there were an
estimated 2.2 million new cases of lung cancer. It is often diagnosed at an advanced stage …