Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …

Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …

Breast cancer is one of the most common causes of death among women, and early
diagnosis is vital for reducing the fatality rate. This study evaluates the most widely used …

Computational intelligence (CI) and artificial intelligence (AI) have incredible roles to play in
the development of smart and sustainable healthcare systems by facilitating the integration …

Intelligent and sustainable healthcare systems can considerably benefit from applying
Computational Intelligence (CI) and Artificial Intelligence (AI). These technological …

Breast cancer (BC) is the most common cancer among women, making it essential to have
an accurate and dependable system for diagnosing benign or malignant tumors. It is …

The task of classification and localization with detecting abnormalities in medical images is
considered very challenging. Computer-aided systems have been widely employed to …

Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …

Early detection and timely breast cancer treatment improve survival rates and patients'
quality of life. Hence, many computer-assisted techniques based on artificial intelligence are …

Recently, the automation of disease identification has been quite popular in the field of
medical diagnosis. The rise of Convolutional Neural Networks (CNNs) for training and …