Breast cancer is a type of cancer that has risen to be the second cause of death among
women. Classification of breast tissues into normal, benign, or malignant depends on the …

Recently, with the massive growth of IoT devices, the attack surfaces have also intensified.
Thus, cybersecurity has become a critical component to protect organizational boundaries …

Breast cancer detection using mammogram images at an early stage is an important step in
disease diagnostics. We propose a new method for the classification of benign or malignant …

Customized deep neural networks are being used to assess medical imaging and pathology
data. The proper assessment of malignancy using digital mammography images is a …

Detection of intrusions is a system that is competent in detecting cyber-attacks and network
anomalies. A variety of strategies have been developed for IDS so far. However, there are …

Breast cancer is one of the most common cause of deaths among women due to cancer. A
computer-assisted prognosis and diagnosis of breast cancer, which effectively reduces the …

Thermography is a useful imaging tool using infrared for the early diagnosis of breast
cancer. Screening cancer aims to outstrip prognosis by seeing the precancerous stage to …

One of the most prominent cancers in women is breast cancer. This research study focuses
on the development of an entropy-based fuzzy clustering and classification using Region …

Breast cancer becomes a significant public health problem in the world. During the early
detection of breast cancer, it is a very challenging task to classify accurately the benign …

The pectoral muscle is the high-intensity region in most mediolateral oblique (MLO) views of
mammograms. Since it appears at the same intensity as most abnormalities it should be …