Digitalization, especially the use of machine learning and computational intelligence, is
considered to dramatically shape medical procedures in the near future. In the field of …

Smarthealth care system is required to handle the large volume of data produced by the
Massive Internet of Medical things. Smart healthcare system uses information and …

Objective To evaluate the value of an integrated model incorporating deep learning (DL),
hand-crafted radiomics and clinical and US imaging features for diagnosing central lymph …

Considering the rising inclination toward the application of Machine Learning (ML)
approaches in cancer investigations, we have illustrated techniques employed in the most …

Oral lichen planus (OLP) is a chronic inflammatory disease, and the common management
focuses on controlling inflammation with immunosuppressive therapy. While the response to …

Kanker payudara merupakan masalah kesehatan yang serius, sehingga deteksi dini dari
kanker payudara dapat berperan penting dalam perencanaan pengobatan. Pada penelitian …

A number of conditions and factors can cause the transformation of normal cells in the body
into malignant tissue by changing the normal functions of a wide range of regulatory …

In this fast-paced automated digital world, people's feelings about Artificial Intelligence (AI)
applications in healthcare depend on the diverse attitudes of the patients. It also depends on …

Using persistent homology topological features to characterize medical images: Case studies on
lung and brain cancers Page 1 The Annals of Applied Statistics 2023, Vol. 17, No. 3, 2192–2211 …

Colorectal cancer is one of the most common types of cancer, and it can have a high
mortality rate if left untreated or undiagnosed. The fact that CRC becomes symptomatic at …