Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …

Around the world, brain tumors are becoming the leading cause of mortality. The inability to
undertake a timely tumor diagnosis is the primary cause of this pandemic. Brain cancer …

Deep learning (DL) models are increasingly used for landslide susceptibility mapping (LSM)
due to their higher accuracy. However, due to the lack of explanations of the influence of …

In recent years, deep neural networks have shown superior performance in various fields,
but interpretability has always been the Achilles' heel of deep neural networks. The existing …

Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

Abstract Background and Objective The early diagnosis of Non-small cell lung cancer
(NSCLC) is of prime importance to improve the patient's survivability and quality of life …

In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …

The proliferation of machine learning (ML) has drawn unprecedented interest in the study of
various multimedia contents such as text, image, audio, and video, among others …

Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …