With the development of the big data age, deep learning developed to become having a
more complex network structure and more powerful feature learning and feature expression …

Machine Learning (ML) and Deep Learning (DL) are derivatives of Artificial Intelligence (AI)
that have already demonstrated their effectiveness in a variety of domains, including …

Many binary class datasets in real-life applications are affected by class imbalance problem.
Data complexities like noise examples, class overlap and small disjuncts problems are …

Breast cancer is currently one of the main causes of death and tumoral diseases in women.
Even if early diagnosis processes have evolved in the last years thanks to the popularization …

Chronic kidney disease (CKD) refers to impairment of the kidneys that may worsen over
time. Early detection of CKD is crucial for saving millions of lives. As a result, several studies …

Background Gastric cancer is one of the leading causes of death worldwide. Screening for
gastric cancer greatly relies on endoscopy and pathology biopsy, which are invasive and …

Cardiovascular diseases are unfortunately one of the leading causes of death in today's
society. It is important to analyze blood flow in various parts of the circulatory system. The …

Advances in machine learning (ML) and the availability of protein sequences via high-
throughput sequencing techniques have transformed the ability to design novel diagnostic …

Compulsory school-dropout is a serious problem affecting not only the education systems,
but also the developmental progress of any country as a whole. Identifying the risk of …

Simple Summary Designing systems that optimize the process of evaluating mammogram
images with the goal of improving the diagnostic process of breast cancer is an active field of …