Whether you deal with a real-life issue or create a software product, optimization is
constantly the ultimate goal. This goal, however, is achieved by utilizing one of the …

Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …

Nowadays, machine learning algorithms have become very important in the medical sector,
especially for diagnosing disease from the medical database. Many companies using these …

Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …

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 …

Machine learning and data mining have established several effective applications in gene
selection analysis. This paper review semi-supervised learning algorithms and gene …

The develo** of deep learning systems that used for chronic diseases diagnosing is
challenge. Furthermore, the localization and identification of objects like white blood cells …

Medical image analysis places a significant focus on breast cancer, which poses a
significant threat to women's health and contributes to many fatalities. An early and precise …

This paper presents the most current and innovative solutions applying modern digital
image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of …

The mood disease depression is quite severe. Those who suffer from depression are often
unable to function normally and may even resort to suicide if their condition worsens …