Research in artificial intelligence for radiology and radiotherapy has recently become
increasingly reliant on the use of deep learning‐based algorithms. While the performance of …

Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

Abstract The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019
has caused immense damage to health and global well-being. Currently, there are …

In this global pandemic situation of coronavirus disease (COVID-19), it is of foremost priority
to look up efficient and faster diagnosis methods for reducing the transmission rate of the …

Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …

This paper proposes a deep convolutional neural network (CNN) model for automated
breast cancer classification from a different class of images, namely, mammograms and …

Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …

Accurate indoor location information in multi-building/floor environments is essential for
establishing many indoor location-based services (LBS). Wi-Fi fingerprinting with received …

Breast cancer is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …

The process of diagnosing brain tumors is very complicated for many reasons, including the
brain's synaptic structure, size, and shape. Machine learning techniques are employed to …