The future of healthcare is an organic blend of technology, innovation, and human
connection. As artificial intelligence (AI) is gradually becoming a go-to technology in …

The aim of this work was to test microwave brain stroke detection and classification using
support vector machines (SVMs). We tested how the nature and variability of training data …

Imaging the bio-impedance distribution of the brain can provide initial diagnosis of acute
stroke. This paper presents a compact and non-radiative tomographic modality, ie multi …

In this paper, an intracranial hemorrhage stroke detection and classification method using
microwave imaging system (MIS) based on machine learning approaches is presented. To …

The hemorrhagic and the ischemic types of stroke have similar symptoms in the early stage,
but their treatments are completely different. The timely and effective discrimination of the …

Angiography is a very informative method for physicians such as cardiologists, neurologists
and neuroscientists. The current modalities experience some shortages, eg, ultrasound is …

Abdominal injury is a frequent cause of death for trauma patients, and early recognition is
essential to limit fatalities. There is a need for a wearable sensor system for prehospital …

In this article, a modified microwave imaging method for stroke diagnosis is proposed. This
method is based on introducing a suitable initial guess for the distorted Born iterative …

The primary objective of this study is to systematically evaluate the performance of the
Support Vector Machine (SVM) algorithm, identifying optimal configurations and appropriate …

Ultrasound and radar signals are highly beneficial for medical imaging as they are non-
invasive and non-ionizing. Traditional imaging techniques have limitations in terms of …