Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …

Quantum physics has changed the way we understand our environment, and one of its
branches, quantum mechanics, has demonstrated accurate and consistent theoretical …

Diagnosing a brain tumor takes a long time and relies heavily on the radiologist's abilities
and experience. The amount of data that must be handled has increased dramatically as the …

Abstract Deep Convolutional Neural Network (CNN)-based image classification systems are
often susceptible to noise interruption, ie, minor image noise may significantly impact the …

Image classification plays an important role in remote sensing. Earth observation (EO) has
inevitably arrived in the big data era, but the high requirement on computation power has …

Diagnosing brain tumors is a time-consuming process requiring radiologist expertise. With
the growing patient population and increased data volume, conventional procedures have …

Brain tumor (BT) diagnosis is a lengthy process, and great skill and expertise are required
from radiologists. As the number of patients has expanded, so has the amount of data to be …

Efficient and reliable storage, analysis, and transmission of medical images are imperative
for accurate diagnosis, treatment, and management of various diseases. Since quantum …

The size of the medical imaging data is increasing day by day which requires improved
tools/applications to perform accurate and efficient diagnoses. Another important concern is …

Currently, quantum neural networks (QNNs) have achieved some success in image
classification due to their strong computational capabilities. However, as the number of …