In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Data mining (DM) and machine learning (ML) applications in medical diagnostic systems
are budding. Data privacy is essential in these systems as healthcare data are highly …

Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …

Deep learning has an enormous impact on medical image analysis. Many computer-aided
diagnostic systems equipped with deep networks are rapidly reducing human intervention in …

With an intention to assist gastroenterologists, this work proposes an intelligent method to
classify alimentary canal diseases such as Barrett's, Esophagitis, Hemorrhoids, Polyps, and …

This work presents a smart healthcare system for the detection of various abnormalities
present in the gastrointestinal (GI) region with the help of time–frequency analysis and …

In the last few years, Unmanned Aerial Vehicles (UAVs) have proven to be an invaluable
tool in Intelligence, Surveillance, and Reconnaissance (ISR) missions, changing paradigms …

Deep Learning (DL) has already shown tremendous potential in designing intelligent clinical
support systems in biomedicine. Data privacy plays a significant role while training and …

Lung cancer is one of the world's deadliest cancers and one of the highest mortality rates.
There has been a recent increase in the prevalence of lung cancer. The key aim of this …

Automatic and accurate medical image segmentation is a crucial step for clinical diagnosis
and treatment planning of diseases. The advanced convolutional neural network (CNN) …