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 …

Skin cancer is one of the worst cancers nowadays that poses a severe threat to the health
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …

According to the World Health Organization statistics, as of 25 October 2022, there have
been 625,248,843 confirmed cases of COVID-19, including 65,622,281 deaths worldwide …

Predicting subcellular protein localization has become a popular topic due to its utility in
understanding disease mechanisms and developing innovative drugs. With the rapid …

Recent advancement in the field of deep learning has provided promising performance for
the analysis of medical images. Every year, pneumonia is the leading cause for death of …

Electroencephalography (EEG) serves as a diagnostic technique for measuring brain waves
and brain activity. Despite its precision in capturing brain electrical activity, certain factors …

The analysis of two-dimensional images enables the detection of structures, objects and
their further classification. In the Internet of Things, images are data obtained from cameras …

A convolutional neural network (CNN) is an important and widely utilized part of the artificial
neural network (ANN) for computer vision, mostly used in the pattern recognition system …

The human brain is an extremely intricate and fascinating organ that is made up of the
cerebrum, cerebellum, and brainstem and is protected by the skull. Brain stroke is …

This research aims to improve the performance of convolutional neural network (CNN) in
medical image segmentation that will detect specific parts of the body's anatomical …