This paper presents a hybrid technique for the classification of the magnetic resonance
images (MRI). The proposed hybrid technique consists of three stages, namely, feature …

Infrared (IR) imaging in medicine has been used in the past but without the advantage of
twenty-firstcentury technology. In 1994, under the Department of Defense (DOD) grants …

Automatic medical image analysis is one of the key tasks being used by the medical
community for disease diagnosis and treatment planning. Statistical methods are the major …

Humankind is witnessing a gradual increase in cancer incidence, emphasizing the
importance of early diagnosis and treatment, and follow-up clinical protocols. Oral or mouth …

Epilepsy is one of the most common central nervous system disorders. Epileptic people
suffer from recurrent seizures depending on many trigger factors such as genetic …

Over the last century, medicine has come out of the" black bag" and emerged as one of the
most dynamic and advanced fields of development in science and technology. Today …

Brain tumor is one of the major causes of death among other types of the cancers. Proper
and timely diagnosis can prevent the life of a person to some extent. Therefore we have …

Early detection of skin cancer has the potential to reduce mortality and morbidity. This paper
presents two hybrid techniques for the classification of the skin images to predict it if exists …

In this work, we demonstrate that it is possible to create supervised machine-learning
models using a support vector machine and random forest algorithms to separate yeast cells …

The object of this study was to demonstrate the ability of machine learning (ML) methods for
the segmentation and classification of diabetic retinopathy (DR). Two-dimensional (2D) …