A model that can obtain rapid and accurate detection of coronavirus disease 2019 (COVID-
19) plays a significant role in treating and preventing the spread of disease transmission …

Accurate and effective breast cancer diagnosis is crucial for breast cancer early
rehabilitation and treatment in the IoT medical environment. Life has changed dramatically …

Currently, the technique of digital mammography is considered the first screening tool used
for detecting breast cancer in early stages. The shape and margin of masses in …

The most fatal disease affecting women worldwide now is breast cancer. Early detection of
breast cancer enhances the likelihood of a full recovery and lowers mortality. Based on …

Objectives To analyze the performance of deep learning in isodense/obscure masses in
dense breasts. To build and validate a deep learning (DL) model using core radiology …

Background The most common cancer affecting women globally is breast cancer. The most
effective and extensively used tool for identifying breast abnormalities in the early stage is …

Improving patient outcomes and treatment efficacy requires effective early detection of
breast cancer. Recently, medical diagnostics has been transformed by merging the Internet …

Computer-Aided Diagnosis (CADx) systems are safety-critical systems that provide
automated medical diagnoses based on their input data. They are Artificial Intelligence …

Numerous modern Computer Assisted Diagnosis (CAD) systems often make use of a
Convolutionanl Neural Network (CNN) architecture for early breast cancer diagnosis and for …

Nowadays, the most predominant cancer disease is Breast Cancer that has a higher death
rate and women gender is the most affected by this disease. But detecting Breast Cancer in …